Cohere, the enterprise-focused LLM developer, has closed a $500M round, boosting its valuation from $5.5B last year to $6.8B. The 2019-founded company focuses on corporate clients, not mass consumers.
Cohere is doubling down on the corporate AI race.
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A massive open-source library of coding project ideas is making the rounds - perfect for brushing up on skills and building a killer portfolio.
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At the first-ever World Robot Games, a Unitree runner made headlines for more than just speed - it accidentally knocked a person down mid-race.
Good thing there’s no robot biathlon yet - we’d rather keep the rifles away.
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Kaiwa Technology in Guangzhou is working on the world’s first humanoid robot with an artificial womb.
The machine is designed to carry a fetus through full gestation using artificial amniotic fluid and nutrient delivery, a prototype is expected by 2026, priced under $14K.
The project sits at the intersection of biotech and robotics, and raises a bigger question:
how far should we go in outsourcing the most human processes to machines?
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Many founders get too attached to their first version. But an MVP is only a starting point, not the final product.
Your MVP is like homework from first grade, useful at the time, but not worth clinging to. The real journey is in what comes after.
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Hot founders in hot markets can skip straight to $4M seeds.
Everyone else takes the long road - bootstrap, grants, accelerators, angels - before VCs write the $2M check.
Same label, very different journeys.
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Companies are shifting away from Zoom and back to face-to-face meetings. Reason: too many candidates lean on AI to cheat during online interviews — especially in technical roles.
The return to old-school interviews shows that sometimes the best filter is still human presence.
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Merge Labs, linked to Sam Altman and OpenAI, is exploring sonogenetics, using gene therapy to make brain cells responsive to ultrasound.
Instead of electrodes, a tiny implanted emitter would read and modulate neural activity through modified cells.
The bet isn’t just medical - it’s about enhancing cognition itself.
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A powerhouse roundup from 2023–2025, covering self-evolving agents, efficiency hacks, and everything you need to make your AI agents not just “alive” but actually effective.
Free up your own time by letting agents do the work.
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A Redditor claims to have solved the biggest issue with LLMs - human imprecision.
Since 92% of the quality of an answer depends on how well you frame the question, this prompt flips the process: ChatGPT does the clarifying, you just confirm.
The structure is simple:
You are to act as my prompt engineer. I would like to accomplish: [insert your task].
Please repeat this back to me in your own words, and ask any clarifying questions.
I will answer those.
This process will repeat until we both confirm you have an exact understanding,
and only then will you generate the final prompt.
Instead of struggling with wording, you let the AI drill down, refine, and finally output the sharpest possible version.
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Robinhood’s founder says declaring the company remote-first in 2022 was “the wrong decision”, and one he regretted almost immediately.
Now the firm runs on an office-heavy model:
Tenev’s logic: leaders should take on more pain than their teams.
If you want people to move fast, you start by setting the example at the top.
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Based in Milan, Bending Spoons isn’t a VC fund or a quick flipper, it buys mature digital products, puts in its own operators, and revives them with new growth.
Recent €500M debt raise (≈€1B total so far) fuels even more acquisitions, backed by JP Morgan, Goldman Sachs, and HSBC. Their playbook: pick strong brands with PMF, then optimize from code to unit economics.
Chances are you’ve already used something in their portfolio:
Named after the Matrix spoon-bending scene - the idea is that reality itself can bend if you know how. And they seem to be proving it by reanimating products most others would have written off.
So which “dead” product would you send to their rehab ward?
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Advanced Security Solutions, a newly launched firm in the UAE, is offering up to $20 million for tools that can hack any smartphone via text message - one of the highest publicly known bounties in the zero-day market.
The zero-day market has ballooned in the last decade - from $1M iPhone exploits in 2015 to today’s $20M offers.
But with anonymous buyers and state-level stakes, the ethical questions are growing just as fast as the payouts.
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An AI trained on 200 books and courses from dating coaches and pickup pros promises to turn you into the ultimate smooth talker.
Your personal AI pickup coach here
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While working full-time at Airbnb, Brian Armstrong spent nights and weekends coding what would become Coinbase.
He avoided using company time or laptops - “if you build it on company hardware, they probably own the IP.”
His advice:
Go hard at it. Launch your thing.
Just start - even if you don’t know what to do, action produces information.
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🧽 Scrub Daddy: the billion-dollar sponge
Scrub Daddy started as a simple idea on Shark Tank in 2012, a sponge that changes texture with water temperature. Firm in cold, soft in hot, odor-free and long-lasting, it quickly became a household hit.
🔸 Sold 42,000 units in 7 minutes on QVC after the show
🔸 Viral on TikTok with 3.3B+ views of #scrubdaddy
🔸 $340M revenue in 2024
🔸 Lifetime sales passed $1B in 2025
🔸 Products now in 257K stores with 160 SKUs
📊 Powered by Crypto Insider
Scrub Daddy started as a simple idea on Shark Tank in 2012, a sponge that changes texture with water temperature. Firm in cold, soft in hot, odor-free and long-lasting, it quickly became a household hit.
From a $100K TV investment to a billion-dollar brand - Scrub Daddy proves even the simplest product can turn into a global startup phenomenon.
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Just Eat Takeaway.com has rolled out robot dogs from Swiss startup RIVR in Zurich - Europe’s first pilot of autonomous ground robots designed for real city environments.
The bots move at up to 15 km/h, climb stairs, carry 40 litres of food, and last 30 km per charge.
For Europe’s foodtech, this marks a shift from lab tests to real urban streets, a preview of how automation could reshape delivery at scale.
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Musk doesn’t start with brainteasers or case studies. He simply asks candidates to tell the story of their career, the hardest problems they faced, how they solved them, and how they made key decisions.
Musk’s rule of thumb: past exceptional achievement is the best predictor of future impact.
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