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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๐Ÿ–ฅ Claude Cowork lands on Windows

Claude Cowork is now available on Windows. The tool is often described as โ€œClaude Code without coding.โ€

It works directly with files on your computer and can connect to external tools to complete multi-step tasks. The focus is on handling workflows that span documents and apps, not writing software.

Access is open to all paid subscribers of Anthropicโ€™s Claude.


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๐Ÿง  MIT finds heavy ChatGPT use weakens recall and brain activity

MIT studied how ChatGPT affects users during writing tasks. 83.3% of participants using the tool could not recall a single sentence they had written minutes earlier. Participants who wrote without AI recalled their work easily.

Neural connectivity scores for ChatGPT users dropped from 79 to 42, a 47% decline. This was the lowest level among all groups. Even after stopping AI use, these participants showed persistently lower activity in later sessions.

AI-written essays were technically correct but often described as robotic and shallow. ChatGPT made users 60% faster while reducing mental effort by 32%.

The strongest results came from people who wrote on their own first and used AI later.


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๐ŸŽฎ 10-minute animated fight made with Seedance 2 for $60

A creator produced a 10-minute animated fighting scene using Seedance 2, a relatively new Chinese model from ByteDance. Total spend: $60.

Seedance 2 is already filling timelines with short clips. Some look impressive. Some look chaotic. The cost barrier keeps dropping.

High-end game and film production used to mean serious budgets. Now a laptop and a small budget can get you minutes of animated action.


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๐Ÿง  DeepMind builds an AI that scores 91.9% on elite math proof test

Google DeepMind introduced Aletheia, a math-focused AI agent that scored 91.9% on IMO-ProofBench Advanced, one of the toughest public benchmarks for Olympiad-style proofs.

Aletheia runs on Gemini Deep Think and uses a loop of generating proofs, checking them, then refining mistakes. DeepMind says it outperforms even newer Gemini Deep Think Advanced setups while using less compute.

Beyond benchmarks, the agent has formally solved four problems from the Erdล‘s list, with one likely not previously closed in literature. It also wrote a full math paper with correct results and assisted researchers on real academic work.

Proof-based reasoning is becoming measurable, scalable, and cheaper at the same time.


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๐ŸŽ“ Udemy integrates its 290,000 courses into ChatGPT

Udemy announced a partnership with OpenAI. Its catalog of more than 290,000 courses is now accessible inside ChatGPT through a course discovery feature.

Users can browse and interact with Udemyโ€™s learning content directly in chat instead of leaving the interface.

The move comes as Udemy prepares to merge with Coursera in a deal valued at about $2.5B. The transaction, announced in December 2025, is expected to close in the second half of 2026 and would combine the two largest online learning platforms under the Coursera brand.

AI search is becoming the new front door for education platforms.


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Forwarded from Venture Capital
โš ๏ธ Anthropic safety researcher resigns, says โ€œthe world is in dangerโ€ from fast AI progress

๐Ÿ–ฑ A senior AI safety researcher at Anthropic, Mrinank Sharma, stepped down, warning that rapid AI development puts the world at risk. He said safety teams face ongoing pressure to sideline core concerns, including bioterrorism and other catastrophic scenarios.

๐Ÿ–ฑ Anthropic was founded to build safer AI systems, yet even its CEO Dario Amodei has publicly cautioned that progress may be moving too quickly and called for slowing deployment.

๐Ÿ–ฑ Similar tensions have surfaced elsewhere. Senior safety researchers, including members of the former Superalignment team at OpenAI, have left, arguing that commercial priorities are overtaking efforts to reduce risks from systems that could surpass human intelligence.

๐Ÿ–ฑ Former OpenAI researcher Zoe Hitzig resigned after ads were introduced in ChatGPT. She warned that advertising inside highly personal conversations could enable subtle manipulation, especially as users share sensitive details about health, finances, and relationships.

Safety debates are no longer internal. They are playing out in public as AI systems scale.

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๐Ÿš€ China lands Long March-10A first stage on water for the first time

China has completed a water landing of the first stage of Long March-10A, its super-heavy reusable rocket. The vehicle stands 67 meters tall with a 5-meter diameter.

Long March-10A is designed for lunar missions. China plans to use it to deliver taikonauts to the Moon by 2030.

Reusable heavy lift is now part of the lunar timeline.


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Forwarded from Programmer โ™จ๏ธ
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Most people think AI started with ChatGPT, but Steve Jobs called it in 1983.

He explains why the next Aristotle will live forever through a machine.



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โ€œDonโ€™t worry, there will still be great jobs even when AI automates everythingโ€

The jobs:


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Startups & Ventures
Silicon Valley predicted the future before the future arrived๐Ÿคฃ ๐Ÿ“Š @tech
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Silicon valley joked about AI Agents contacting each other.


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A human tried to troll a Tesla robot, then the robot trolled him back.


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๐Ÿฆž OpenAI acquires OpenClaw and hires its creator

OpenAI has absorbed the OpenClaw project and brought its creator, Peter Steinberg, into the company. He will lead development of the next generation of AI agents. Sam Altman called him a genius and said his ideas will soon shape OpenAI products.

OpenClaw itself will remain open source. OpenAI says it will continue to support and develop the project.

The repository has been one of the fastest-growing in GitHub history by stars. At its peak, it gained 34,000 stars in two days. In about 60 days, it went from roughly 9,000 to nearly 200,000 stars. For comparison, Kubernetes took about three years to reach 100,000.

Anthropic reportedly had an opportunity to move earlier but focused on trademark concerns around the original name ClawdBot.

This time, OpenAI moved first and secured the team behind the momentum.


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๐Ÿฅ‹ AGIBOT shows kung fu robot A3 with jump kicks and flips

Shanghai-based AGIBOT presented its robot A3 performing jump kicks, spinning strikes at different angles, and backflips. The company says the robot can consistently hit its target during demonstrations.

Despite the martial arts moves, the intended use case is far calmer. AGIBOT plans to deploy A3 for guided tours and escort services.


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They are now 3D printing a 12 meter boat in one piece with robots, no mold and no extra cost.

What once needed a full shipyard can now be done with a giant printer.


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๐Ÿ Apple to unveil $699 MacBook with A18 Pro in March

Mark Gurman reports that Apple plans to announce a lower-cost MacBook at its March event. The device is expected to start at $699.

Instead of an M-series chip, it will use the A18 Pro from the iPhone 16 Pro. While positioned below Apple Silicon M chips, the A18 Pro is said to approach original M1-level performance. The display is rumored at 12.9 inches. Apple has also developed a cheaper and faster aluminum manufacturing process for the chassis.

Color testing reportedly includes light yellow, light green, blue, pink, silver, and dark gray. Current MacBook Air models start at $999.

A sub-$700 Mac would reset the entry point to the Mac lineup.


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Startups & Ventures
๐Ÿฆž OpenAI acquires OpenClaw and hires its creator OpenAI has absorbed the OpenClaw project and brought its creator, Peter Steinberg, into the company. He will lead development of the next generation of AI agents. Sam Altman called him a genius and said hisโ€ฆ
OpenClaw creator Peter Steinberg is the literal โ€œOk Claude, make a $1B company, make no mistakesโ€ gigachad meme.


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๐Ÿค– The man who taught AI to see

If you have ever scanned a bank card with your phone camera or watched an app extract data from a receipt, you used technology shaped by Yann LeCun.

In the 1980s, computer vision was stuck. Systems tried to process entire images at once, consumed heavy compute, and produced weak results. LeCun took a different path inspired by biology. He designed neural networks that break images into small patterns like edges and curves, then assemble meaning from those pieces.

In 1989, he introduced a handwritten digit recognition system. By the 1990s, his algorithms were processing roughly 10% of bank checks in the US. It was one of the first cases where neural networks delivered measurable profit to large companies.


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