
Mira Murati's Startup Might Rival OpenAI, Anthropic
Heads with colorful cubes as a symbol of mentoring and psychotherapy.
People are talking about a new startup that's poised to offer detailed custom services around LLMs.
Thinking Labs, according to news from The Information and other sources, will look to offer clients customized AI platforms based on KPIs and other business intelligence, using reinforcement learning.
That sounds like big news in the current context, where there's a big need for any detailed implementations that can be customized for a business. So with all of the brouhaha around Thinking Labs, who is its fearless leader? Because since the news is so scant around the business itself, any context that you get as a reporter would have to deal with Murati's past career moves.
Murati's Background
So with that said, what do we know about Mira Murati? She's from Albania, born in 1988, and has significant experience at both OpenAI and Tesla. She also has a mechanical engineering degree from Dartmouth College.
As CTO at OpenAI, Murati led the development, deployment, and scaling of flagship products like ChatGPT and DALL·E. Then she actually became temporary CEO during Altman's ouster.
So it makes sense, given the potential business rivalry, to ask: what is her connection to Sam Altman?
A post from The Decoder in 2024 shows Murati has publicly denied conflict with Altman, calling the board's decision to fire him 'perplexing' and claiming that herself and others worked to get him back. Famously, Altman was rather quickly reinstated, to continue leading OpenAI into the future, while writing some pretty cogent essays on AI which I've covered recently.
As for the connection between Musk and Murati, since she also worked at Tesla, I'll cite another Inc. piece from last June titled: 'Open AI's Pushback of Elon Musk's Criticism Shows How to Defend Your Company Reputation.'
'Mira Murati, OpenAI's chief technology officer, knows more than Musk does about how her company's systems work,' wrote tech reporter Kit Eaton. 'Using carefully chosen words in a speech, she made that very clear.'
I thought Eaton's characterization of Musk's challenge, and the resulting pushback, was pretty well written, even though it sounds a little sensationalized at the end:
'Normally bearish on AI tech, Musk swore he'd ban Apple devices from his companies if OpenAI tech was integrated at a deep level, and even warned the public in an X posting he thought Apple was 'selling you down the river' with 'creepy spyware.' OpenAI's CTO has now addressed Musk's outrage, and her words put Musk in his place.'
Anyway, this serves to illustrate how, at the helm, Murati had to address Musk's input. Aside from that, there don't seem to be a lot of public examples of anything significantly interesting happening between the two prominent tech people (Murati and Musk, that is.)
Ok, enough tea. But again, the reason that people will be looking into Mira Murati goes as follows: 1. Thinking Labs will be a big player. 2. There's a dearth of public information about Thinking Labs and what it is doing. 3. Our ability to contextualize rests with Murati's past job experience as a pro at both rival firms, with two tech moguls who later had words.
Why Does This Matter So Much?
Not to put too fine a point on it, but the reason that tech news will be covering this in the first place is that today is the era of microservices, and of services in general. In another post, I covered how my friend and colleague Dave Blundin was talking about digital services needing technical support, with the promise of an AI Internet evolving. He specifically mentioned CRM, as an example. That made sense to me: too many vendors are selling 'Cadillac' CRM systems that are not sufficiently customized to what the firm needs. If this customization can be automated – the result is anybody's guess, really.
That said, I believe that Thinking Labs is probably going to be on the vanguard along with its rivals in offering the hundreds of thousands of companies across the U.S. tools to compete in today's business world, which now often seems to have been injected with AI adrenaline.
And we're seeing a kind of all-or-nothing consolidation playing out across the tech industry: a few special firms (like OpenAI) are going to reap the fruits of the universal move toward AI-native systems. Keep an eye out for Thinking Labs and other dark horse companies as the race continues.

Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Yahoo
28 minutes ago
- Yahoo
Can Nvidia Stock Hit $250 in 2025?
Artificial intelligence (AI) darling Nvidia (NVDA) is once again making waves, this time by reclaiming its title as the world's most valuable company. The chipmaker, which has been at the heart of the AI boom and a go-to name for Big Tech's most advanced computing needs, saw NVDA stock hit a fresh record high on June 25. The surge came after Loop Capital analyst Ananda Baruah described Nvidia as poised to ride a 'Golden Wave' of AI. NVDA stock closed up by more than 4% in a single day, pushing its market capitalization just ahead of Microsoft (MSFT). Apart from bullish analyst commentary, what really caught investors' attention was Loop's aggressive price target hike from $175 to $250. With enthusiasm running high, can Nvidia continue to soar and actually hit that lofty target in 2025? Dear Nvidia Stock Fans, Watch This Event Today Closely A $2 Billion Reason to Sell Super Micro Computer Stock Now 3 ETFs Offering Juicy Dividend Yields of 15% or Higher Tired of missing midday reversals? The FREE Barchart Brief newsletter keeps you in the know. Sign up now! Nvidia needs no introduction. It's the name behind the AI boom and the muscle behind everything from gaming and data centers to self-driving cars. With its cutting-edge chips powering the next wave of tech innovation, the company has firmly cemented its place at the center of the digital revolution. While it has faced some turbulence in 2025 — ranging from U.S.-China trade tensions to concerns over slowing AI spend and rising competition — Nvidia still remains a key player in the AI race. Although Loop Capital's Street-high price target has certainly fueled excitement, there's a broader wave of optimism driving the rally. Investors appear increasingly confident that China's export restrictions won't derail Nvidia's leadership in the AI space, especially as global demand for advanced computing continues to soar. Adding to the bullish tone, CEO Jensen Huang struck an ambitious note at Nvidia's annual shareholder meeting on Wednesday, describing AI and robotics as a 'multitrillion-dollar growth opportunity.' The comments come at a time when governments around the world are ramping up investments in sovereign AI capabilities to tackle critical national priorities. With momentum building across both private and public sectors, Nvidia's long-term growth story remains as compelling as ever. Now commanding a staggering $3.76 trillion market cap, Nvidia has stormed back into the spotlight, fueled by bullish analyst calls, a bold growth outlook from leadership, and global demand for AI solutions. Nvidia surged to a new 52-week high of $156.72 on June 26. With a 15% gain in 2025 so far, the stock is easily outpacing the broader S&P 500 Index's ($SPX) 4.4% return year-to-date (YTD). The chipmaker's fiscal 2026 first-quarter earnings, posted on May 28, didn't disappoint, crushing expectations on both revenue and profit. Nvidia reported a massive 69% year-over-year (YOY) increase in revenue, reaching $44.1 billion and surpassing the $43.3 billion estimate. As usual, it was the data center segment that stole the show, continuing to drive Nvidia's role at the heart of the AI revolution. Nvidia's data center business demonstrated a stunning 73% YOY jump to $39.1 billion, making up a commanding 88% of total revenue. The gaming segment also impressed, climbing 42% to $3.8 billion on strong demand for high-performance chips. Even the automotive and robotics unit got in on the action, racing ahead by 72% YOY to $567 million. Nvidia ran into a regulatory hurdle in the quarter when the U.S. slapped fresh restrictions on its previously approved H20 chip for China. The fallout wasn't small. The company took a $4.5 billion hit for excess inventory and missed out on an estimated $2.5 billion in sales. That dragged its adjusted gross margin down to 61%, although without the impact that would have come in at a much stronger 71.3%. On the bottom line, Nvidia delivered adjusted earnings of $0.81 per share, up 33% from last year and beating expectations by 8%. Without the H20 chip charge, earnings would have jumped to $0.96 per share. Still, investors seemed pleased, sending NVDA stock up 3.3% on May 29. Looking ahead, Nvidia is guiding for $45 billion in revenue for Q2 of fiscal 2026, give or take 2%. That figure already bakes in an estimated $8 billion hit from the latest export restrictions on its H20 chips. On the profitability side, Nvidia expects GAAP and non-GAAP gross margins to be 71.8% and 72%, with a 50-basis-point cushion in either direction. Despite recent headwinds, the company isn't backing down. It's still setting its sights on gross margins climbing into the mid-70% range by year-end. Fueling Nvidia's latest surge, Loop Capital cranked up its price target from $175 to a Street-high $250, reaffirming its 'Buy' rating. Analyst Ananda Baruah didn't hold back in his bullish outlook, remarking that we're entering the next 'Golden Wave' of generative AI adoption, with Nvidia positioned right at the forefront. According to Baruah, demand for Nvidia's high-end AI chips is ramping up even faster than expected, setting the stage for another powerful leg of growth. Overall, Nvidia continues to enjoy unwavering support on Wall Street, where the consensus remains a resounding 'Strong Buy.' Of the 44 analysts offering recommendations, 37 give NVDA stock a 'Strong Buy" rating, three suggest a 'Moderate Buy,' three offer a 'Hold,' and one analyst advocates for a 'Strong Sell" rating. The average analyst price target of $174.84 indicates 13% potential upside from current price levels. However, Loop Capital's street-high price target of $250 suggests the stock can rally as much as 61%. With solid fundamentals, soaring AI demand, and strong backing from Wall Street, Nvidia's climb to $250 in 2025 may be bold, but it is looking increasingly achievable. On the date of publication, Anushka Mukherji did not have (either directly or indirectly) positions in any of the securities mentioned in this article. All information and data in this article is solely for informational purposes. This article was originally published on Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Yahoo
36 minutes ago
- Yahoo
Peloton (PTON) Rallies 6.4% on Quarterly Window-Dressing
Peloton Interactive, Inc. (NASDAQ:PTON) is one of the . Peloton Interactive rallied by 6.42 percent on Friday to close at $6.8 apiece as investors appeared to scoop up bargains ahead of the quarterly window-dressing. In recent news, Peloton Interactive, Inc. (NASDAQ:PTON) announced the creation of a chief technology officer role in line with its plans to focus on artificial intelligence innovation. The role will be assumed by Francis Shanahan, who has led the company's engineering and technical teams, customer-facing AI innovation strategy, guided product architecture, and ensured its systems are scalable and high-performing. In the third quarter of fiscal year 2025, Peloton Interactive, Inc. (NASDAQ:PTON) narrowed its net losses by 71.5 percent to $47.7 million from $167.3 million in the same period last year, pushing its nine-month losses down by 73 percent to $140.5 million from $521.4 million in the same comparable period. A group of people in a fitness class with connected fitness products in a studio or gym. Revenues for the last quarter declined by 13 percent to $624 million from $717.7 million year-on-year, while revenues for the nine-month period decreased by 8 percent to $1.883 billion from $2.056 billion. While we acknowledge the potential of PTON as an investment, our conviction lies in the belief that some AI stocks hold greater promise for delivering higher returns and have limited downside risk. If you are looking for an extremely cheap AI stock that is also a major beneficiary of Trump tariffs and onshoring, see our free report on the best short-term AI stock. READ NEXT: 20 Best AI Stocks To Buy Now and 30 Best Stocks to Buy Now According to Billionaires. Disclosure: None. This article is originally published at Insider Monkey.


Entrepreneur
an hour ago
- Entrepreneur
Struggling to Stick to a Routine? Here's How AI Can Help
With the right systems in place, consistency stops feeling like a grind and starts feeling automatic. AI won't do the work for you — but it can make it a lot easier. Opinions expressed by Entrepreneur contributors are their own. I've always believed that consistency beats intensity. At the gym, I exercise for 30 minutes daily, rather than several grueling hours once a week. Every morning, I commit to writing 400 words, which I much prefer to banging out half a book in one caffeine-fueled haze. In the early years of building my company, there were no massive funding rounds — just showing up day in, day out, solving problems and improving my product one step at a time. That's why this quote from Atomic Habits author James Clear has always stuck with me: "You do not rise to the level of your goals. You fall to the level of your systems." In other words, it's not your ambition that carries you forward — it's your habits. And the truth is, building good habits is hard, especially when you're running a business. You're pulled in a hundred different directions, and it's easy for even the most adamant resolutions to fall apart after a few days. Even so, building routines can be tough — they require persistence, dedication and a surprising amount of mental energy just to stay on track. You have to remember your goals, fight off distractions and constantly reorient yourself when things get chaotic. But here's the good news: You don't have to do it all manually. Thanks to AI, it's now possible to build systems that help you stay consistent without burning out. I've always been pretty adamant about my routines, but now, it's easier than ever. Here's how I'm approaching it. Related: 7 Ways AI Made My Work Smarter — and Not Harder Use AI as an accountability partner At work, you've got a manager (or a board). At the gym, you may have a trainer. It's clear that having someone to hold you accountable adds an extra layer of urgency to achieving your goals. After all, it's harder to blow off that morning workout knowing you're keeping someone waiting (who you'll still have to pay if you hit snooze). With AI, accountability doesn't have to be external. AI agents — autonomous decision-makers that can take action on your behalf, in particular, can do more than just nudge you about your to-do list. They can check in, track progress, adapt routines and even suggest improvements. That kind of support system used to require a team. Now, it can be built into your daily workflow. Say you struggle, for example, with carving out time to work on a new product. Tools like Motion integrate directly with your calendar to track your habits, block focus time and adjust dynamically when conflicts arise. If you want to start prioritizing an hour of deep work every day post-morning coffee, a tool like this can afford these commitments the same weight as a meeting, automatically protecting your time and reminding you when it's time to get started. Cut down on decision fatigue One of the biggest reasons we abandon routines isn't a lack of motivation — it's decision fatigue. Considering the average person makes 35,000 decisions a day, it's no wonder we struggle to effectively prioritize our time. When every action requires mental effort, from choosing what to work on to when to do it, we quickly burn out. Ironically, creating structure is one of the best ways to stave off the pressure of making decisions. I often think of the advice I've heard from pro athletes, who afford themselves zero room for waffling or negotiating when it comes to their training schedules. It's cold out today? Too bad. They didn't sleep well the night before? Also, too bad. There's no decision involved — only doing. That level of consistency doesn't come from motivation — it comes from removing choice from the equation. And that's where AI can play a powerful role. By automating the when, what and even how long, AI systems help you stick to routines without needing to summon willpower every time. And while it's true that no tool can force you to follow through on a commitment, they can do the next best thing: Cut off your access to distractions. When I can't trust myself not to procrastinate a task I'd rather avoid, I use a platform like Freedom, which simply blocks my ability to lose myself in online distractions. It's simple, but incredibly effective. Related: Why Smart Entrepreneurs Let AI Do the Heavy Business Lifting Don't just build routines — design systems A lot of people confuse routines with checklists: wake up, meditate, answer emails, repeat. But the most effective routines aren't strict — they're adaptive. They fluctuate with your schedule, adapt to your goals and grow along with you. That's where AI shines — not just in tracking habits, but in helping you design systems that actually fit your life. Say your kid gets sick and needs to get picked up from school, or even go to the doctor. Life happens. But it doesn't mean your whole day needs to fall apart completely. For this, I like Reclaim and Clockwise, which can intelligently reschedule tasks when your best-laid plans take a sudden turn. Instead of you adjusting to your routine, the system adjusts to you. With the right systems in place, consistency stops feeling like a grind and starts feeling automatic. AI won't do the work for you — but it can make it a lot easier to show up, day after day, and keep moving forward.