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Polymarket’s Success Fuels Legitimacy of Onchain Prediction Markets, Says Tech Entrepreneur

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Amit Mahensaria, founder of PRED, argues that the sports betting industry is at a tipping point as decentralized, peer‑to‑peer platforms challenge the traditional “house always wins” model. Technical Readiness Meets Cultural Shifts For decades, the sports betting industry has operated under a cynical, century-old mathematical law: the house always wins. While centralized bookmakers have enjoyed […]

Google DeepMind Introduces Agentic Vision to Gemini 3 Flash

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Google DeepMind added this week agentic vision capabilities to its Gemini 3 Flash model, turning image analysis an active rather than passive task.

While typical multimodal models process images in a single “glance,” by introducing agentic capabilities, Google allows its model to actively study a picture and home in on specific details, such as street signs or a serial number on a microchip. 

The new feature works by generating and running Python code that zooms, manipulates and inspects images methodically.

“By combining visual reasoning with code execution, one of the first tools supported by Agentic Vision, the model formulates plans to zoom in, inspect and manipulate images step-by-step, grounding answers in visual evidence,” Rohan Doshi, product manager at Google DeepMind, wrote in a blog post about the announcement.

The feature uses a Think-Act-Observe loop, whereby Gemini 3 Flash will study a user query and image and formulate a plan, use Python code to actively conduct an image analysis, and then inspect the results before generating its final response. 

According to Google, the update saw a quality improvement of between 5% to 10% across vision benchmarks.

A range of new agentic behaviors have, Google said, already been demonstrated from the update via Google AI Studio, such as iterative zooming, direct image annotation and visual plotting. The latter is said to reduce hallucinations ­— a common problem with visual math tasks. 

Looking ahead, the company said it plans to add more implicit code-driven behaviors into the model, meaning certain capabilities that currently require a specific prompt will become an autonomous feature.

More features, such as web and reverse image search, as well as a greater range of model sizes, are also expected to be rolled out in the future. 

Bitcoin Crashes To Nine-Month Low On Tariffs, Liquidations

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Bitcoin has fallen to a nine-month low of $81,000, causing billions in liquidations over the past day as escalating tensions in the Middle East and US President Donald Trump’s fresh threats of tariffs caused traders to sell off.

Bitcoin (BTC) fell to a low of $81,058 on Coinbase in early trading on Friday, its lowest point since April, according to TradingView. The cryptocurrency has dropped 35% from its all-time high of $126,000 in October.

CoinGlass data shows 270,000 traders were liquidated in the past 24 hours, with total liquidations hitting $1.68 billion. The majority of those liquidations, or 93%, were levered long positions predominantly in BTC and Ether (ETH). 

Bitcoin is now at a crucial support zone on the monthly time frame, having hit a nine-month low. A wider crypto market rout has wiped $200 billion from total capitalization over the past 24 hours.

BTC falls back to April lows. Source: TradingView

Geopolitical tensions and tariffs tank markets

The drop comes as the US dispatched another warship to the Middle East amid the country’s rising tensions with Iran, with Trump stating that he plans to speak with Tehran.

“We have a lot of very big, very powerful ships sailing to Iran right now, and it would be great if we didn’t have to use them,” Trump told reporters Thursday. 

Related: Gold nearly adds Bitcoin’s entire market cap in a single day

Trump also declared a national emergency and signed an executive order on Thursday that would impose tariffs on any goods from countries that sell or provide oil to Cuba, causing further concerns for traders.

Gold also sold off with a 9% decline since its all-time high of $5,600 per ounce on Thursday, while silver has corrected 11.5%. 

Tech earnings and AI market fears add to selloff

Jeff Mei, chief operations officer at the BTSE exchange, thinks that disappointing tech revenue reports had an impact.

“Last night’s market dip had a clear correlation to Microsoft’s earnings flop,” he told Cointelegraph. 

Microsoft’s stock tanked 10% on Thursday in the sharpest daily decline since March 2020 after reporting record spending and slowing cloud sales growth. 

“Investors are worried that a broader pullback in AI-related tech stocks will affect the market as a whole, and some are derisking their portfolios,” he said.

“We think the dip was relatively overblown as cryptocurrencies have already declined since October, and that Bitcoin and other cryptocurrencies remain at an attractive price with limited downside.”

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