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A police officer responding to the incident fatally shot the alleged attacker.
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Silicon Valley Tech Worker Fatally Shot After Allegedly Stabbing Roommate

by admin September 8, 2025


A Silicon Valley tech worker was fatally shot by police this week after allegedly stabbing a roommate.

Santa Clara police responded to a disturbance call that quickly escalated to a stabbing earlier this week. A police officer responding to the incident fatally shot the alleged attacker.

The four men in the apartment were all “high-tech workers,” though the suspect had been unemployed “for one and a half years already,” the house manager for the property claimed in an interview with local news KTVU. It’s not yet clear which Bay Area tech company the roommates worked for.

The incident took place in the early morning hours on Wednesday at the 1800 block of Eisenhower Drive in Santa Clara, California. The town is at the center of Silicon Valley, housing the headquarters of major technology companies like Nvidia, AMD, Intel, and ServiceNow.

The coroner is still working to locate and notify the next of kin of the suspect, so the name  was being withheld as of Friday, Santa Clara police department chief Corey Morgan said in a press briefing on Friday afternoon.

The incident was reportedly not the first time police had been dispatched to the residence. On Aug. 12, police were called to resolve a disturbance over an air conditioning unit at the household between the same two men, KTVU reported. The house manager allegedly started an eviction process for the suspect after the Aug. 12 incident, and proceedings had wrapped up last week.

What we know about the incident

Shortly after 6 a.m. on Wednesday morning, Santa Clara police officer Robert Allsup responded to a 911 call from a Santa Clara area apartment.

“As officers were responding to the location, they received information that the situation had escalated and the suspect was now stabbing the victim,” Morgan told press.

After kicking open the front door, the officer says he saw four people in the hallway, with the suspect straddling the victim, pinning the body down to the ground with a knife in his hand, according to body cam images shared with press at a briefing.

When the suspect raised the knife, the officer responded with four gunshots. The police say the suspect fell on the ground, and was later transported to a local hospital where he was pronounced dead, Santa Clara police said.

The stabbing victim survived the attack, and was treated for multiple stab wounds to their hands, chest, lung, and abdomen. Based on witness statements, the police said, the suspect used two knives in the assaults.

The matter is still under investigation.



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September 8, 2025 0 comments
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Meet the Silicon Valley Donors Backing California's Redistricting Push
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Meet the Silicon Valley Donors Backing California’s Redistricting Push

by admin September 1, 2025


In the latest sign that Silicon Valley titans are increasingly throwing their weight behind political issues, Netflix co-founder Reed Hastings has contributed $2 million to support Gov. Gavin Newsom’s Proposition 50 campaign.

The move is the latest underscoring how Silicon Valley’s deep-pocketed executives are increasingly wielding influence in California politics and beyond.

The November ballot measure would scrap California’s independent redistricting commission, returning map-drawing authority to the state legislature, where Democrats hold firm majorities.

Backers argue the change would counterbalance GOP-led gerrymanders in states like Texas and Florida, potentially netting Democrats half a dozen U.S. House seats in 2026.

Hastings’ donation highlights the growing role of tech fortunes in political fights. The Netflix co-founder has long been a high-profile donor, previously giving $3 million to Newsom’s 2021 recall defense. He has also funded statewide education reform initiatives and donated heavily to national Democratic causes.

Other Silicon Valley figures are joining him

Ron Conway, one of the Valley’s most prolific angel investors, has pledged support, and Y Combinator’s Paul Graham gave $500,000. Their involvement echoes a broader trend: Tech executives are increasingly channeling personal wealth into shaping policy outcomes, often through ballot measures where their dollars can have an outsized impact.

California has been a testing ground for such efforts.

In 2020, Uber, Lyft and DoorDash collectively spent more than $200 million to pass Proposition 22, rolling back state labor rules that threatened their business models. More recently, venture capital and crypto executives have funded campaigns to resist new taxes and regulations.

Tech money is increasingly flowing into politics

The pattern isn’t limited to California. At the national level, technology money has become a major force in politics.

Sam Bankman-Fried, the disgraced former crypto billionaire, spent more than $40 million on congressional races in 2022 before his collapse. Some estimates put his total political contributions at more than $70 million across 18 months, reflecting his ambition to exert influence at the federal level

Amazon, Microsoft and Alphabet remain among the top corporate spenders on lobbying in Washington. These interventions have helped shape debates ranging from antitrust reform to AI regulation.

According to Axios, in the first quarter of 2025, Meta spent $8 million lobbying, followed by Amazon at $4.3 million, with Microsoft at $2.4 million. OpenSecrets reports Amazon’s total federal lobbying for 2025 (first half) at $9.35 million, and Alphabet (Google’s parent) at around $7.81 million

For critics, Proposition 50 represents another instance of wealthy tech donors tilting the political playing field.

Opponents, including GOP donor Charles Munger Jr., who has already committed $10 million to defeat it, say dismantling the independent redistricting system voters approved in 2008 is a naked power grab. Former House Speaker Kevin McCarthy has also jumped into the fray, casting the measure as an effort by Democrats and their Silicon Valley allies to “rig the map.”

Are Silicon Valley tycoons the kingmakers yet?

What makes the fight especially significant is its national impact.

California, with 52 House seats, remains the biggest single prize in congressional redistricting. Even a small shift in district lines could determine control of the House in 2026. For Democrats, aligning with wealthy tech donors offers a way to keep pace with Republican fundraising networks that have long used redistricting to their advantage.

Whether Hastings and his peers can sway voters remains uncertain. Early polls show Californians split on Proposition 50, reflecting skepticism about giving lawmakers more control. But the torrent of Silicon Valley money ensures that by November, voters will be hearing arguments on both sides at near-constant volume.

If successful, the campaign would further cement Silicon Valley not only as an economic powerhouse but also as a decisive political player, with ambitions that stretch far beyond California’s borders.



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September 1, 2025 0 comments
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Storage, not silicon, will trigger AI’s next breakthrough
NFT Gaming

Storage, not silicon, will trigger AI’s next breakthrough

by admin August 24, 2025



Disclosure: The views and opinions expressed here belong solely to the author and do not represent the views and opinions of crypto.news’ editorial.

The debate over graphics processing horsepower is old news. Those who succeed in the future will be those who master where data resides. As global data creation continues to explode, lagging firms will be left locked out of the next stage of innovation.

Summary

  • Data volumes are exploding, with global creation projected to surpass 200 zettabytes by end-2025, more than all prior human output combined.
  • Centralized cloud storage is the AI bottleneck, inflating costs by up to 80% with egress fees and slowing large-scale data transfers to days.
  • Decentralized storage networks offer a fix, sharding data across independent nodes and embedding cryptographic proofs for compliance-ready audit trails.
  • Regulation like the EU AI Act raises the stakes, forcing provable data provenance—making storage a strategic priority, not a background utility.

Data creation is projected to crest 200 zettabytes worldwide by the end of 2025; that’s enough to stream every film ever made more than 100 billion times. This estimate involves more digital matter than humankind has generated in every prior year combined.

In tandem with this surge, research teams have revealed the first publicly released trillion-parameter language model. This behemoth model, whose training corpus alone would have filled entire national archives ten years ago, is an example of such a Leviathan that consumes petabytes an hour.

Without storage pipelines that can ingest, stage, and stream data at these newfound scales, even the fastest processors will suffer in idle frustration.

Centralized clouds are the new bottleneck

Most organizations still rely on a handful of hyperscale storage silos engineered for web apps, not frontier science. The financial drag is brutal.

An industry audit published in April revealed that hidden egress and retrieval charges can increase real storage costs by up to 80%, rendering routine model retraining a budget-breaking endeavor. Worse, moving tens of petabytes across regions can take days; an eternity when competitive advantage is measured in iteration cycles.

Centralization, therefore, does more than inflate invoices; it embeds inequality directly into the artificial intelligence economy, giving incumbents with deeper pockets an automatic edge over all others. In response to this reality, a different blueprint is gaining momentum as decentralized storage networks that shard data across thousands of independent nodes pave the way for a future built on equal footing. 

Equally vital is the need for transparent audit trails that satisfy looming disclosure mandates on how trading data is sourced, curated, and governed. Ultimately, regulation will be the deciding factor in whether tomorrow’s models see the light of day or face litigation.

Storage’s new stress test

Real-time AI now extends far beyond the data center wall, pushing models to factory floors, hospitals, and autonomous vehicles. At these edges, a millisecond lost to sluggish I/O can trigger a production fault or a safety risk. 

The latest MLPerf Storage v2.0 benchmarks prove the strain: checkpointing a GPT-class workload across 10,000 accelerators now takes 37 seconds, and even a 100,000-GPU supercluster still stalls for 4.4 seconds while waiting on disks rather than performing mathematical operations. 

Unless pipelines can deliver petabytes in bursts and then replicate the same data to thousands of micro-sites, ‘edge-AI’ will remain more keynote than reality. Analysts are already echoing the warning that storage throughput, not memory or networking, will be the number one bottleneck throttling next-gen clusters.

Regulation adds another layer of urgency, such as the European Union’s AI Act, which entered its second enforcement wave on August 2 — forcing general-purpose model providers to document every shard of training data…or risk fines of up to 7% of global turnover.

Centralized silos struggle to satisfy this mandate. Duplicative copies blur provenance, and opaque egress logs make audit trails a nightmare for accountants. By contrast, decentralized networks embed cryptographic proofs of replication into their very fabric, turning compliance into a byproduct rather than an expensive add-on.

Ignore storage at the cost of peril

With edge latency measured in microseconds and legal penalties measured in billions, storage is no longer a background utility; it is the only substrate on which tomorrow’s AI can legally and physically run. Firms that still treat capacity as a commodity line item are courting technical debt and regulatory shock in equal measure.

Compute innovation will continue to steal headlines, but without an equally radical rethink of where (and how) data resides, the most advanced silicon will sit idle as costs and compliance risks spiral.

The race for AI dominance is on, and it will be won by those who elevate storage to a first-class strategic priority, embrace decentralization, and build audit-ready pipelines that scale from core to edge. Everyone else will discover that no amount of GPU power can outrun a bottleneck built into the very foundations of their stack.

Kai Wawrzinek

Kai Wawrzinek is a co-founder of the Impossible Cloud & Impossible Cloud Network. He is a seasoned entrepreneur with a Ph.D. in Law and a proven track record of building successful ventures. Recognizing the need for enterprise-grade solutions in the web3 space, Kai founded Impossible Cloud Network (ICN), a decentralized cloud platform aimed at creating a decentralized alternative to AWS. Before ICN, Kai founded Goodgame Studios, an online game company, and grew the company to over 1,000 employees and generated more than €1 billion in revenue, taking it public on Nasdaq in 2018 through a reverse merger. 



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August 24, 2025 0 comments
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Silicon Valley Throws $100M at AI-Powered Mattress With a Subscription

by admin August 21, 2025



In brief

  • Eight Sleep landed a $100M Series D from Founders Fund, Y Combinator, and F1 investors, pushing sales past $500M
  • It’s AI “Sleep Agent” system adjusts temperature and heart rate, but users gripe about leaks, glitches, and black-box data
  • Celebrity fan club includes Elon Musk, Mark Zuckerberg, and Scarlett Johansson—while Reddit calls it a “glorified water bed”

Eight Sleep, a startup that sells $3,000 AI-powered mattresses with a monthly subscription fee, just raised $100 million in Series D funding, hoping to bolster a relatively novel idea within the consumer discretionary sector.

The round—led by Founders Fund, Y Combinator, Valor Equity Partners, and HSG (formerly Sequoia China)—also drew investments from F1 driver Charles Leclerc and McLaren Racing CEO Zak Brown.

The deal pushes the company’s valuation to about $500 million, with more than $500 million in Pod sales reported since launch.



Eight Sleep’s “Pod” system uses water-filled tubes in a mattress cover to adjust bed temperature between 55°F and 110°F (13-43 °C).

Built-in sensors track heart rate, breathing, and heart rate variability, which an AI system called Autopilot uses to tweak the environment in real time.

Prices start at $2,500 for the mattress topper, and climb over $4,000 for the whole system. Then there’s a $17–$25 monthly subscription for “advanced features”—because yes, even your mattress now needs a membership plan.

The company has amassed a high-profile fan base, including Elon Musk and Mark Zuckerberg. Scarlett Johansson swears by it, and biohacker Bryan Johnson, who spends $2M a year on anti-aging, is another user.

“This new funding enables us to accelerate the deployment of AI for sleep optimization, expand into medical applications like menopausal sleep and sleep apnea, and bring our technology to millions of people around the world,” CEO Matteo Franceschetti said in the announcement. The former lawyer, turned sleep obsessive, founded the company in 2014 after struggling with his own sleep issues.

But not all the feedback has been positive. On social media, users have shared stories about glitches that cause the system to stop working entirely, leaving them with an expensive, non-functional bed. Others have reported issues with water leaks and connectivity problems.

Woke up because my AI controlled bed is too cold. Went to adjust temperature and I can’t because the Eight Sleep app is currently broken. Can’t adjust by hand because I have a Pod3, not the upgraded Pod4 with physical controls.

Now I am stuck in a cold bed. This feels dystopian.

— Theo – t3.gg (@theo) June 16, 2025

The system’s AI has been called a “black box” by some users, who complain it does not provide transparent data.

Eight Sleep’s new funding will support the development of what it calls a “Sleep Agent,” an AI that will run thousands of nightly simulations to further refine a user’s rest. The company is also seeking FDA approval for medical applications of its technology, including treating menopausal hot flashes and sleep apnea..

The company says its AI models have processed over 1 billion hours of sleep data. With $100 million in fresh capital, the bet for Eight Sleep remains that its blend of hardware and software will continue to find a decent resting place, no matter the price.

Generally Intelligent Newsletter

A weekly AI journey narrated by Gen, a generative AI model.





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August 21, 2025 0 comments
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