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Startups & Ventures
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A hub for startup news, trends, and insights, covering the global startup ecosystem for founders, investors, and innovators.

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📺 Anthropic runs Super Bowl ads taking aim at ChatGPT-style monetization

Anthropic aired a series of Super Bowl ads that mock advertising inside AI chatbots. The jokes are pointed.

In one spot, a man asks an AI how to do pull-ups and gets an ad for height-increasing insoles.

In another, someone asks for help repairing a relationship with his mother and is shown a dating app ad “to meet other adult women.”

Every clip ends the same way: ads appear in AI, but not in Claude.

The target is clear. The ads ridicule the idea of chatbots blending help with contextual ads.

Sam Altman publicly pushed back. He said Anthropic is attacking ad formats OpenAI does not plan to use, calling the campaign misleading. He framed the disagreement as a choice between broad access to AI and a tightly controlled, premium-only model.

AI rivalry has moved from product posts to prime-time TV.


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🎮 GTA VI confirmed for November 19 release

GTA VI is still scheduled to launch on November 19. Developers and publisher Take-Two Interactive said there are no plans to delay the release.

The company also confirmed a major marketing push starting this summer. More ads, announcements, and official materials are coming.

The timeline is now locked around a heavy promo cycle.


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LEGO clock tracks time up to a galactic year

A YouTube creator built a fully mechanical LEGO clock that measures time from seconds up to a galactic year.

The system works continuously and includes a scale reaching 1 billion years.

A galactic year is one full orbit of the Solar System around the Milky Way’s center.

It lasts about 225–250 million Earth years.

The clock places the universe at roughly 61 galactic years old, with the Solar System around 20 and currently mid-way through the 21st.

The mechanism uses a classic pendulum with an escapement and a weight on a string.

When the weight reaches the bottom, an electric motor rewinds it through a differential so the pendulum keeps swinging.

Power comes from a built-in solar panel that rotates with the Sun.


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🎥 Logitech brings AI framing to large meeting rooms

Logitech unveiled Rally AI Camera and Rally AI Camera Pro, priced at $2,500 and $3,000. Both target large conference rooms where speakers drift out of frame and faces get lost.

The cameras use Rally optics with RightSight 2. The system switches automatically between a wide shot, a close-up of the speaker, or a balanced grid view for all participants.

The Pro version adds a dual-camera setup with a 115° wide lens plus a separate optical camera with 15x hybrid zoom and a 1-inch sensor. It supports multi-camera layouts in Zoom and Microsoft Teams, with automatic switching.

This is purpose-built hardware for big rooms, not everyday meeting spaces.


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🧠 The man who invented AI

In 1956, one mathematician asked a question that sounded like science fiction at the time:
“What if a machine could think?”

That question gave birth to the term Artificial Intelligence.
That man was John McCarthy.
And that moment quietly started the AI story we are living inside today.

McCarthy did not build startups or pitch investors. He did something riskier. He defined ideas decades ahead of their time.

🔸 He argued that intelligence is not magic or “human essence”, but a formal system that can be described with logic
🔸 He created Lisp, the language used for AI long before Python or neural networks
🔸 He believed real AI should reason, set goals, and draw conclusions, not just predict the next token

When we talk today about AI agents, reasoning models, or autonomous decision systems, we are mostly catching up to ideas outlined 60 to 70 years ago.

The irony is that McCarthy was a skeptic. He did not believe in black-box magic and would likely be very strict with modern LLMs.

But his focus on logic, goals, and agency is exactly what is becoming relevant again.


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🧠 OpenAI ships GPT-5.3 Codex as a new coding model

OpenAI released GPT-5.3 Codex. Sam Altman described it as a response to Opus 4.6. No direct benchmarks were shared.

According to Altman, the model codes better than earlier Codex versions. It holds longer context and lets users change task conditions mid-execution.

He also claims faster execution compared to previous models.


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A guy just cooked with code and robotics, and made a machine move like it has rhythm.


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SanDisk raises SSD prices

American SSD maker SanDisk sharply increased prices across its lineup.

Some models went up by as much as 4x.
A flagship 8TB SSD now costs over $2,500.


At that price point, the drive alone costs more than a full PC did not long ago.


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🧪 OpenAI links GPT-5 to an autonomous lab and cuts protein costs by 40%

OpenAI connected GPT-5 to a fully autonomous laboratory. The setup reduced the cost of producing the sfGFP protein from $698 to $422 per gram.

Human involvement was limited to preparing reagents and monitoring.

GPT-5 designed experiment batches. The lab executed them. Results were fed back into the next cycle.

There were 6 iterations in total, covering 36,000 reaction compositions.

The system identified cheaper reaction mixes that had not been tested before. Protein yield increased by 27% after optimization.

This is a full closed-loop setup. At this stage, it is large-scale automated trial and error, but done faster and cheaper than manual lab work.


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🔈 JLab sells headphones you are not meant to wear

JLab released Blue XL for $100. It looks like oversized headphones, but it is actually 2 speakers connected by a fixed headband.

Each side has a 2.5-inch driver plus a same-size passive radiator for bass. The unit can sit on a desk like a portable speaker. The cups cannot be detached. One side has a volume wheel.

Battery life is rated at 20 hours. Charging takes about 3 hours. Formally, it fits on a head, but the intended use is around the neck, not over the ears.

It is sold only on JLab’s site, in a limited run, in one blue color.


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Now you can mass unsubscribe from emails from within the Gmail app.

This is the first really good gmail feature release since they killed Inbox.


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🔫 Painkiller RTX uses AI to update a 2004 game at scale

Painkiller is being reworked through the Painkiller RTX project without a traditional remaster. Instead of manually redoing thousands of assets, the team relies on generative AI to upscale old textures into physically based materials with depth, roughness, and light behavior.

The AI handles bulk processing fast and consistently. Human artists stay in the loop, reviewing scenes, fixing failures, and adjusting mood where realism breaks the original feel. Most routine asset work is automated. Creative control stays manual.

Painkiller RTX is less about nostalgia and more about workflow. Old games no longer face a binary choice between being forgotten or getting an expensive remake. Small teams can now revive legacy content using AI-driven pipelines at a fraction of the cost.


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🤖 EPFL builds a robotic hand that breaks past human limits

EPFL engineers designed a robotic hand that does not copy human anatomy. It uses up to 6 identical fingers that bend in both directions. Any pair can form a pinch grip. There is no fixed palm or back.

The hand supports 33 human-style grasps and actions people cannot do. It can hold an object on the back of the hand while manipulating another. Two outer fingers can shift position and act as opposing thumbs from either side.

The hand can also detach and move on its own. Each finger works independently, letting it crawl into tight spaces. Lab head Aude Billard calls this “loco-manipulation”.

This is a shift from imitation to function-first robot design.


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Documentary: non-technical founder discovers Claude Code


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🚀 Guy rode the hype and made $22K

You’ve probably heard of OpenClaw, also called Clawbot or Moltbot depending on the week.

Someone quickly built a simple service that installs OpenClaw on a server in one click, for people who don’t want to deal with setup themselves.

He caught the hype, made about $22K, and is now listing the project for $200K.

Fast problem spotting. Faster execution. Sometimes that’s the whole game.



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