



SambaNova raised $1 billion twice in five months while Nvidia now trades compute for revenue shares, suggesting chip makers see more upside in recurring AI income than hardware sales.

AI chip maker SambaNova has closed the first part of its Series F funding round at an $11 billion valuation, raising $1 billion led by General Atlantic. The round comes just five months after its $350 million Series E in February, marking a dramatic valuation jump from roughly $2 billion earlier this year. JPMorgan Chase joins as a key customer for on-premise AI inference.

A draft US Treasury report reveals that an AI bubble collapse could ripple through stock markets, private credit, and retirement portfolios. Career analysts warn that AI firms are more deeply embedded in the economy than dotcom predecessors, with $750 billion in infrastructure spending at stake. The report highlights risks from electricity shortages, supply chain disruptions, and unmet productivity expectations.

Norm AI has secured $120 million in Series C funding led by Khosla Ventures, propelling the legal AI startup to a $1.2 billion valuation. The New York-based company operates an AI-native law firm that deploys AI agents supervised by human attorneys, charging clients based on outcomes rather than billable hours. With clients managing over $30 trillion in assets, Norm AI is building supervisory AI agents that monitor other AI systems in regulated industries.

Thomas Dohmke's startup Entire has unveiled a distributed Git network designed to handle the surge of AI coding agents. The platform lets developers mirror repositories across regions in the U.S., Europe, and Australia, addressing rate limits and latency issues that plague centralized platforms. Built on a $60 million seed round at a $300 million valuation, Entire aims to complement GitHub while preparing for an AI agent era where billions of automated systems need simultaneous code access.
Meta is embedding user likenesses into AI images across its platforms while Zuckerberg admits AI agents are underperforming and the company prepares to sell excess compute capacity.




SKDMap-Net identifies you by gait when your face is hidden, making masks and distance useless against surveillance for the first time.

A new AI system called SKDMap-Net can identify individuals by analyzing their walking patterns using skeletal keypoints and joint movements. The technology achieved 95.8% accuracy on major datasets and works even when faces are obscured or cameras are far away. While it promises better long-range security checks for law enforcement, the behavioral biometrics approach raises significant privacy concerns about tracking public movement.

Researchers have uncovered HalluSquatting, a new AI security threat that exploits how Large Language Models hallucinate fake domains and package names. Hackers register these AI-generated identifiers to deploy malware at scale. Palo Alto Networks' Unit 42 discovered over 13,000 malicious URLs and 250,000 unregistered domains that could be weaponized, affecting popular AI coding assistants including GitHub Copilot, Cursor, and Gemini CLI.

Security researchers at Noma Security discovered GitLost, a prompt injection flaw in GitHub Agentic Workflows that allows attackers to exfiltrate data from private code repositories using nothing but a carefully worded public issue. The vulnerability exploits AI agents with cross-repo access, bypassing GitHub's guardrails with a single word and requiring no stolen credentials or special access.

Security firm Varonis discovered a critical security vulnerability in Google Dialogflow CX that could have let attackers compromise AI chatbots across entire Google Cloud projects. The Rogue Agent flaw allowed malicious insiders to read live conversations, steal sensitive user data, and send phishing requests. Google patched the vulnerability in June 2026 with no evidence of real-world exploitation.
Box finds AI leaders win with governance while peers bleed from exposure incidents, just as enterprises from Tesla to Uber slam the brakes on runaway costs.

A new Box survey of 1,640 IT decision-makers shows enterprise AI adoption surged from 8% to 64% in one year. Leading companies achieve 25%+ ROI by integrating AI agents with trusted content and formal governance, while half of all organizations report AI-related data exposure incidents. Box CEO Aaron Levie argues both frontier and specialized AI models will drive spending growth for years.

Singapore state investor Temasek announced plans to increase its AI exposure from 6% to 15% by 2031, targeting investments across semiconductors, cloud providers, and foundation models like OpenAI and Anthropic. The firm's portfolio value climbed to a record S$518 billion ($401 billion), driven by strong performance in Singapore holdings and strategic divestments.

South Korea's semiconductor boom masks a troubling trend: AI eliminated 211,000 jobs for young workers aged 15-29 over three years, while employment for workers in their fifties increased by 209,000. The shift reveals how AI-driven automation disproportionately replaces entry-level tasks while augmenting roles requiring experience, creating stark generational divides in the labor market.

Cognizant Technology stock surged 5.8% following the announcement of a major expansion of its Google Cloud partnership. The company plans to deploy Gemini Enterprise to 100,000 associates in 2026, scaling to 200,000, while certifying at least 10,000 professionals on the platform. Internal benchmarks show software development velocity improving by up to 30%, with role-based agents automating 60% to 70% of manual effort.
Enterprises are realizing that building the AI system around the model matters more than the model itself, just as Karp attacks token pricing and NVIDIA cuts costs 5x.




Nvidia expands into CPUs as AI companies like DeepSeek build their own chips to reduce dependence, forcing the chipmaker beyond GPUs into revenue-sharing deals.

Nvidia frames its Vera CPU as the first 'max single-threaded CPU at scale,' designed specifically for AI agent workloads. Perplexity confirms adoption, reporting 1.5x faster performance in agentic coding tasks compared to traditional x86 processors, as Nvidia expects $20 billion in Vera sales this fiscal year.

AI chip maker SambaNova has closed the first part of its Series F funding round at an $11 billion valuation, raising $1 billion led by General Atlantic. The round comes just five months after its $350 million Series E in February, marking a dramatic valuation jump from roughly $2 billion earlier this year. JPMorgan Chase joins as a key customer for on-premise AI inference.
Samsung has launched mass production of its PM1763, the industry's first PCIe 6.0-based enterprise SSD designed for AI and HPC servers. The drive delivers sequential read speeds up to 28,400 MB/s—twice the performance of its predecessor—and will power Nvidia's Vera Rubin AI platform. Built with 9th-generation V-NAND and a 4nm controller, the PM1763 addresses growing demands for faster, more efficient storage in AI data centers.

A draft US Treasury report reveals that an AI bubble collapse could ripple through stock markets, private credit, and retirement portfolios. Career analysts warn that AI firms are more deeply embedded in the economy than dotcom predecessors, with $750 billion in infrastructure spending at stake. The report highlights risks from electricity shortages, supply chain disruptions, and unmet productivity expectations.
Venice AI turns profitable on privacy while rivals chase reliability, cost reduction, and self-improvement with billions in funding but no revenue proof.




The White House cleared GPT-5.6 for release while OpenAI offers the government a $42.6 billion stake, blurring the line between regulator and shareholder.

OpenAI will publicly release its GPT-5.6 model series on July 9 after receiving government approval following weeks of restricted testing. The Trump administration lifted access restrictions after the Department of Commerce conducted additional security evaluations. The release includes three variants—Sol, Luna, and Terra—each designed for different use cases and pricing tiers.

Meta is testing prototype AI-powered smart glasses with super sensing capabilities that continuously record audio and capture images every few seconds. The $1.5 trillion company plans to disable LED recording indicators during use, intensifying privacy concerns as the technology could make it harder for bystanders to know when they're being recorded.

The Future of Life Institute's latest AI Safety Index shows a troubling trend: no AI company earned an A grade in any category, with top-ranked Anthropic receiving only a C+. Major AI labs including OpenAI, Google DeepMind, and Meta have weakened or eliminated earlier commitments to pause development if systems approached danger thresholds, signaling the erosion of voluntary safety frameworks before governments establish durable alternatives.

Norm AI has secured $120 million in Series C funding led by Khosla Ventures, propelling the legal AI startup to a $1.2 billion valuation. The New York-based company operates an AI-native law firm that deploys AI agents supervised by human attorneys, charging clients based on outcomes rather than billable hours. With clients managing over $30 trillion in assets, Norm AI is building supervisory AI agents that monitor other AI systems in regulated industries.
AI is finding critical disease markers hiding in plain sight on tests doctors already perform, suggesting decades of diagnostic data may contain answers clinicians couldn't see.

University at Buffalo researchers developed an AI model that detects previously invisible gray matter lesions in multiple sclerosis patients using existing MRI scans. The breakthrough uncovered over 11,000 hidden cortical lesions across 700 patients, revealing damage that has been functionally invisible to clinicians for decades despite playing a key role in disease progression and cognitive impairment.

A new AI system called SKDMap-Net can identify individuals by analyzing their walking patterns using skeletal keypoints and joint movements. The technology achieved 95.8% accuracy on major datasets and works even when faces are obscured or cameras are far away. While it promises better long-range security checks for law enforcement, the behavioral biometrics approach raises significant privacy concerns about tracking public movement.

Discord has confirmed that an AI moderation bug mistakenly banned over 8,000 users across two months for uploading harmless images including spreadsheets, chessboards, and Minecraft inventory screens. The automated safety system incorrectly flagged grid-like patterns as harmful content, bypassing human review and triggering permanent account suspensions that the company is now reversing.

Warsaw-based Nomagic has deployed a vision-language-action model into live warehouse operations with paying customers, cutting robot-caused human interventions by roughly half. The company's new AI lab, led by former Google DeepMind researcher Markus Wulfmeier, is pursuing task-specific mastery before generality—a stark contrast to the industry's race toward general-purpose robot brains.
Microsoft is cutting jobs while building its own AI models to escape the same token pricing it sells to enterprise customers.

Microsoft is routing tens of thousands of AI prompts weekly through its own MAI models in Excel and Word, marking a strategic shift away from expensive third-party providers like OpenAI and Anthropic. The move addresses mounting AI infrastructure costs while the company maintains its partnerships but rebalances its AI strategy.

A draft US Treasury report reveals that an AI bubble collapse could ripple through stock markets, private credit, and retirement portfolios. Career analysts warn that AI firms are more deeply embedded in the economy than dotcom predecessors, with $750 billion in infrastructure spending at stake. The report highlights risks from electricity shortages, supply chain disruptions, and unmet productivity expectations.

The IMF cut its global economy forecast to 3% growth in 2026, down from 3.5% in 2025, as the Iran war drives energy prices up 32%. But a U.S.-led AI investment boom is softening the blow, with four tech giants planning $700 billion in AI-related capital expenditures this year. Energy-importing nations face the steepest challenges while AI chip exporters see accelerated growth.

The AI industry is experiencing a dramatic pricing split, with commodity AI models plummeting 55x in cost over four years while frontier models surge in price. Companies now spend 10-20% of labor costs on tokens, forcing enterprises to rethink their multi-model strategy and harness engineering approaches as the token economy matures.
Samsung's PCIe 6.0 SSD for Nvidia platforms arrives as memory chipmakers pour $64 billion into new factories, betting AI infrastructure demand outlasts investor doubts.
Samsung has launched mass production of its PM1763, the industry's first PCIe 6.0-based enterprise SSD designed for AI and HPC servers. The drive delivers sequential read speeds up to 28,400 MB/s—twice the performance of its predecessor—and will power Nvidia's Vera Rubin AI platform. Built with 9th-generation V-NAND and a 4nm controller, the PM1763 addresses growing demands for faster, more efficient storage in AI data centers.

AI chip maker SambaNova has closed the first part of its Series F funding round at an $11 billion valuation, raising $1 billion led by General Atlantic. The round comes just five months after its $350 million Series E in February, marking a dramatic valuation jump from roughly $2 billion earlier this year. JPMorgan Chase joins as a key customer for on-premise AI inference.

Nvidia frames its Vera CPU as the first 'max single-threaded CPU at scale,' designed specifically for AI agent workloads. Perplexity confirms adoption, reporting 1.5x faster performance in agentic coding tasks compared to traditional x86 processors, as Nvidia expects $20 billion in Vera sales this fiscal year.

The IMF cut its global economy forecast to 3% growth in 2026, down from 3.5% in 2025, as the Iran war drives energy prices up 32%. But a U.S.-led AI investment boom is softening the blow, with four tech giants planning $700 billion in AI-related capital expenditures this year. Energy-importing nations face the steepest challenges while AI chip exporters see accelerated growth.
Meta just spent months forcing LED indicators on users to prevent covert recording, then built prototypes that skip the LED entirely.

Meta is testing prototype AI-powered smart glasses with super sensing capabilities that continuously record audio and capture images every few seconds. The $1.5 trillion company plans to disable LED recording indicators during use, intensifying privacy concerns as the technology could make it harder for bystanders to know when they're being recorded.

A new AI system called SKDMap-Net can identify individuals by analyzing their walking patterns using skeletal keypoints and joint movements. The technology achieved 95.8% accuracy on major datasets and works even when faces are obscured or cameras are far away. While it promises better long-range security checks for law enforcement, the behavioral biometrics approach raises significant privacy concerns about tracking public movement.

Apple released iOS 27 beta 3 with major AI upgrades including customizable Siri voices for iPhone 17 Pro models, Live Recognition accessibility tools, and Apple Intelligence integration in Home. The update also brings Siri AI to watchOS 27 and introduces new controls for AirPods Adaptive mode.

Security researchers at Noma Security discovered GitLost, a prompt injection flaw in GitHub Agentic Workflows that allows attackers to exfiltrate data from private code repositories using nothing but a carefully worded public issue. The vulnerability exploits AI agents with cross-repo access, bypassing GitHub's guardrails with a single word and requiring no stolen credentials or special access.






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Model Collapse
Model collapse occurs when AI models are trained on AI-generated content, causing quality to degrade over generations. The model essentially starts learning from its own mistakes and biases, creating a feedback loop of declining performance.




Meta has unveiled Muse Image, its first AI image generator from Meta Superintelligence Labs. The model replaces Midjourney technology and integrates across Meta's platforms including Instagram, WhatsApp, and Facebook Marketplace. Users can tag Instagram accounts to incorporate likenesses, create custom ads, and access over 30 new Instagram Stories effects.
Meta is embedding user likenesses into AI images across its platforms while Zuckerberg admits AI agents are underperforming and the company prepares to sell excess compute capacity.


A new Box survey of 1,640 IT decision-makers shows enterprise AI adoption surged from 8% to 64% in one year. Leading companies achieve 25%+ ROI by integrating AI agents with trusted content and formal governance, while half of all organizations report AI-related data exposure incidents. Box CEO Aaron Levie argues both frontier and specialized AI models will drive spending growth for years.
Box finds AI leaders win with governance while peers bleed from exposure incidents, just as enterprises from Tesla to Uber slam the brakes on runaway costs.

Model Collapse
Model collapse occurs when AI models are trained on AI-generated content, causing quality to degrade over generations. The model essentially starts learning from its own mistakes and biases, creating a feedback loop of declining performance.

Nvidia frames its Vera CPU as the first 'max single-threaded CPU at scale,' designed specifically for AI agent workloads. Perplexity confirms adoption, reporting 1.5x faster performance in agentic coding tasks compared to traditional x86 processors, as Nvidia expects $20 billion in Vera sales this fiscal year.
Nvidia expands into CPUs as AI companies like DeepSeek build their own chips to reduce dependence, forcing the chipmaker beyond GPUs into revenue-sharing deals.

Meta is testing prototype AI-powered smart glasses with super sensing capabilities that continuously record audio and capture images every few seconds. The $1.5 trillion company plans to disable LED recording indicators during use, intensifying privacy concerns as the technology could make it harder for bystanders to know when they're being recorded.
Meta just spent months forcing LED indicators on users to prevent covert recording, then built prototypes that skip the LED entirely.


Microsoft is routing tens of thousands of AI prompts weekly through its own MAI models in Excel and Word, marking a strategic shift away from expensive third-party providers like OpenAI and Anthropic. The move addresses mounting AI infrastructure costs while the company maintains its partnerships but rebalances its AI strategy.
Microsoft is cutting jobs while building its own AI models to escape the same token pricing it sells to enterprise customers.