OpenAI Buys Fed for a Buck; GPT-5 is Here???

ChatGPT for $1? OpenAI is making an aggressive play to become the AI backbone of the U.S. government. It announced that ChatGPT Enterprise (with advanced models and security features) will be offered to all federal agencies for just $1 per agency for the next year. This virtually-free deal (done via the U.S. General Services Administration) aims to hook government users early, streamlining red tape with AI. It’s a gutty strategy that could force rivals like Anthropic and Google to match fire-sale prices to win government contracts. In other words, OpenAI is willing to lose money now to lock in Uncle Sam long-term.
Open-Source Rise: The new open-source models released this week by OpenAI - their first 'open' models since GPT-2 in 2019 and packaged with built-in web browsing and code execution - rocketed to #1 trending on HuggingFace . Tech Twitter’s verdict: “ClosedAI just became Semi ClosedAI.”
OpenAI CEO Sam Altman even hinted that giving away some of their “billion-dollar” tech for free will do “far more good than bad” in the world.
GPT-5 Hype Train: The highly anticipated GPT-5 model is looming - and imminent: OpenAI has teased a special event (a “LIVE5TREAM”) for today at 10 AM PT, likely unveiling GPT-5, their next flagship model. Anticipation is sky-high: competitors have been scrambling to drop their own news before the big reveal. One newsletter quipped it’s like “everyone showed up to OpenAI’s wedding wearing white” – Anthropic and Google rushing out announcements to steal the spotlight. If the frenzy earlier this week was any clue, we’re in for even bigger news when GPT-5 officially lands.
Google Levels Up (Education & More)
AI Tutor for Students: Not to be outdone, Google is doubling down on AI in education. They just launched a new “Guided Learning” mode for their upcoming Gemini AI model - basically Google’s answer to ChatGPT’s tutor mode. Instead of just spitting out answers, Gemini’s guided mode walks students through problems step-by-step, asking questions and giving hints to build critical thinking . It even uses images, videos, and interactive quizzes to make learning more engaging.
And Google is making its $250/month AI service free for college students (in select countries). They’re also committing $1 billion for AI training in higher ed as part of this rollout. The message: Google wants the next generation growing up on its AI, not OpenAI’s. With concerns that chatbots can make students lazy, both Google and OpenAI are framing their tools as study aids that teach you how to fish rather than handing you the fish. It’s a clear shot at winning over schools and universities with more “responsible” AI helpers.
New World Model: We mentioned yesterday how Google’s AI research arm, DeepMind, unveiled something straight out of sci-fi: Genie 3, a “world model” that can generate fully interactive 3D environments from text . Describe a scene, and Genie can create a 3D world you can actually explore for minutes, at 720p and 24fps. Want to change the weather or time of day? Just prompt it, and it dynamically adjusts.
It's only eight months from Genie 2 and AI insiders are calling it a potential “future of gaming” ... “video games will never be the same,” one commentator said.
But don’t expect Genie to replace Unreal or Unity for full-length games just yet (it’s not stable enough for a 50-hour game), but as a tech demo it shows how close we are to AI-generated virtual worlds. It’s another front where Google is flexing its AI muscle beyond chatbots - and a reminder that they’re playing the long game with research-heavy projects.
Anthropic & Others Join the Fray
Claude Gets an Upgrade: While the spotlight was on OpenAI and others, Anthropic quietly released Claude Opus 4.1 - an upgraded version of its Claude 4 model focused on coding prowess. How good is it? It scored 74.5% on SWE-Bench (Verified), a benchmark for fixing real GitHub issues - effectively state-of-the-art for AI code assistants.
Early users say Claude 4.1 is eerily good at finding and fixing bugs across multiple files without introducing new ones. In other words, it debugs like a veteran engineer who never breaks the build. The catch: it’s pricey. At about $75 per million tokens (5× more than Anthropic’s basic model), you’ll pay a premium for that senior-dev-in-the-cloud.
Anthropic seems to be betting that enterprises will shell out for an AI that saves expensive developer hours. Claude’s upgrade flew under the radar, but it underscores the AI coding assistant race - and positions Anthropic as a serious contender for dev teams’ attention.
New AI Agents & Tools
- Anthropic isn’t stopping at Claude 4.1 – they also rolled out a feature to let you create multiple Claude “sub-agents” with specific roles (for testing, debugging, etc.), each with its own context window.
- Elon Musk's AI unit xAI is expanding its Grok AI - “Grok Imagine” as a tool for AI-generated images and videos, now rolling out to early users on Android.
- Microsoft, in a big research breakthrough, announced CLIO (Cognitive Loop via In-situ Optimization) - a framework that lets AI models self-improve their reasoning on the fly. Unlike typical static models, CLIO allows an LLM to adapt its thought process in real-time, creating feedback loops to refine its answers and flag uncertainties . In tests, this boosted a GPT-4.1 model’s accuracy on tough biomedical questions from 8.5% to 22.4% - a huge leap . The key idea: AI doesn’t have to be “frozen” at deployment; it can learn to think better as it works. For high-stakes problems (like scientific research), this kind of steerable, explainable AI could be a game-changer .
Business Booms and Big Money
Spending Spree: The AI arms race is not just in models but in money. A new report shows Big Tech is on pace to spend $344 billion on AI this year. Microsoft, Google, Amazon, Meta - all are dramatically ramping up cloud infrastructure spending to support AI. Amazon alone is pouring $100B+ into AI for AWS, and Meta plans to bring online 1.3 million GPUs for its AI work. That’s a ~60% jump in capex vs last year.
Why the splurge? It’s FOMO meets future domination: whoever controls the most AI compute might control the tech’s future . This gold rush has some analysts murmuring about a potential AI bubble - reminiscent of past frenzies - but for now the spigot is wide open. Even Tesla cited the “ever-intensifying AI talent war” as justification to grant Elon Musk a $29 billion stock award to keep him at the helm. In short, no expense is spared in the race to AI supremacy, whether it’s data centers or superstar CEOs.
Funding Frenzy
- AI startups are also swimming in capital. For instance, sales automation startup Clay just raised $100 million at a hefty $3.1B valuation, to scale its AI that finds sales leads and drafts emails.
- In AI research, new lab Chai Discovery scored a $70M Series A to work on AI-driven molecular design.
- OpenAI’s own valuation is skyrocketing - it quietly raised ~$8.3B this year at a $300B valuation, and now is reportedly talking about letting employees sell stock at a mind-boggling $500B valuation. Yes, half a trillion.
The fear of missing out in AI has shifted from VCs to the big institutional investors: everyone wants a piece of the next juggernaut. Of course, these crazy valuations rely on the assumption that AI will transform entire industries (and generate equally massive profits). For now, the cash keeps flowing in - and even SoftBank is back making late-stage “Vision Fund” style bets, hoping not to miss the boat.
News Media vs Scrapers
Media Strikes Back: Traditional media and content creators are starting to fight back against the AI giants. Many news publishers have begun blocking AI crawlers (from OpenAI, Google, etc.) to stop their content from being scraped for free.
AI tools like ChatGPT are now delivering summary answers that cut into website traffic, threatening ad revenue. A recent study found users click links half as often when an AI summary is shown in search results.
Facing this “AI summary storm,” publishers are demanding tech companies pay up for content. And we’ve seen the deals being brokered for over a year now e.g. Google licensed content from the AP, Amazon struck a news deal with the NYT, and even open-source darling Mistral partnered with AFP.
But the battle is far from over - we all know about how the New York Times just filed a blockbuster lawsuit against OpenAI and Microsoft, challenging their use of copyrighted news in training. It’s a legal showdown that could set the precedent for AI’s use of copyrighted text. But publishers are in a bind: blocking AI may protect content but also limits their reach to new audiences. Expect to see more “Generative AI Optimizations” (GEO) strategies, where media try to maintain visibility in AI platforms without giving away the store.
The big picture: after years of being pummeled by Google and Facebook, the news industry is determined not to get cut out of the AI revolution - or at least to get paid for it. (Note: Look for Cloudflare to help.)
Let's Get Socail
Social Platforms Embrace AI: In the world of social media, AI is the new hotness. Even Donald Trump’s Truth Social is jumping on the trend - the platform just launched “Truth Search AI,” an AI-powered search engine for its users.
It’s powered by Perplexity’s tech and can answer user queries with cited sources, bringing a ChatGPT-like experience into the app.
Truth Social’s CEO Devin Nunes says they’re gathering feedback to refine the AI search, as the platform aims to “exponentially increase” info available to users. The move follows others: Elon Musk’s X introduced its Grok chatbot last year, and Meta rolled out “Meta AI” assistants across Facebook, Instagram, and WhatsApp. Even Reddit added an AI search tool.
It’s a trend of social networks integrating AI either to help users find information or just to boost engagement with nifty features. Interestingly, AI is also a political focus - Trump has made AI a pillar, issuing an executive order to cement American leadership in AI and unveiling a national AI Action Plan to “win the global AI race”.
The takeaway: AI isn’t just for tech companies and research labs – it’s becoming a must-have feature (and geopolitical talking point) everywhere from your news feed to the Oval Office.
Quick Bytes
- Self-Driving Science? Microsoft’s new CLIO system (mentioned above) showcases self-adapting AI reasoning in real time, potentially a big deal for scientific research and any domain where AI needs to explain itself. This kind of innovation could make AI more trustworthy and flexible for complex problem-solving - think drug discovery or climate modeling. It’s giving AI a brain that can learn how to think better on the fly, not just repeat pre-programmed patterns.
- AI Empowers Creators: Creative AI tools see notable upgrades: Midjourney, the popular image generator, just added a high-definition video mode for its Pro users, enabling AI-created videos with 4× more pixels than before (though at 3× the compute cost). And on the audio front, ElevenLabs unveiled a new AI music generator model. Uniquely, ElevenLabs secured licensing deals with major music labels (Merlin, Kobalt) so that the AI can generate music legally using licensed artist data. Artists have to opt in, ensuring no one’s rights are violated. This comes as other AI music startups face lawsuits - it’s a sign the industry is adapting with opt-in, licensed AI content rather than Wild West infringement.
Sources
- The Internet
- AI Secret
- The Rundown AI
- The Neuron