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π¨ India AI Summit Fraud: University Booted for Faking Robot Dog
Galgotias University was just kicked out of Indiaβs flagship AI summit for one of the most awkward frauds we have seen yet. A staff member tried to pass off a commercially available Chinese robot dog as their own original work. People quickly realized it was just a Unitree Go2 bought off the shelf. This is a huge embarrassment for the school and a clear sign that the hype for AI clout is driving some people to take really desperate shortcuts.
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Galgotias University was just kicked out of Indiaβs flagship AI summit for one of the most awkward frauds we have seen yet. A staff member tried to pass off a commercially available Chinese robot dog as their own original work. People quickly realized it was just a Unitree Go2 bought off the shelf. This is a huge embarrassment for the school and a clear sign that the hype for AI clout is driving some people to take really desperate shortcuts.
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π¨ Microsoft stores 4.8TB on a piece of glass πͺ
Microsoft's Project Silica just hit a major milestone: they moved from expensive fused silica to everyday borosilicate glass (yes, Pyrex). The result? 4.8TB of data etched into a 120mm x 2mm glass disk that lasts 10,000+ years. No climate control. No migration cycles. Just femtosecond lasers, a camera, and some ML magic reading layers of data like a tiny vinyl record.
That's ~200 4K movies or 1.75 million songs on something the size of a drink coaster. Compare that to your SSD which starts getting nervous after a decade.
π‘ Why this matters: We're talking about true "set it and forget it" archival storage. For government records, scientific datasets, or anything that needs to outlive us, this changes the math entirely. Pilot programs with government and science archives target 2027.
Source: Microsoft Research
Microsoft's Project Silica just hit a major milestone: they moved from expensive fused silica to everyday borosilicate glass (yes, Pyrex). The result? 4.8TB of data etched into a 120mm x 2mm glass disk that lasts 10,000+ years. No climate control. No migration cycles. Just femtosecond lasers, a camera, and some ML magic reading layers of data like a tiny vinyl record.
That's ~200 4K movies or 1.75 million songs on something the size of a drink coaster. Compare that to your SSD which starts getting nervous after a decade.
π‘ Why this matters: We're talking about true "set it and forget it" archival storage. For government records, scientific datasets, or anything that needs to outlive us, this changes the math entirely. Pilot programs with government and science archives target 2027.
Source: Microsoft Research
Microsoft Research
Project Silica
Project Silica is developing the first-ever storage technology designed and built from the ground up for the cloud, using femtosecond lasers to store data.
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π¨ Agents that evolve together, stay together
UC Santa Barbara researchers just built digital Darwinism. These AI agents evolve as a group, matching human-engineered systems on SWE-bench.
The kicker? ZERO inference cost after evolution. No API calls. No token limits. No ongoing AI bill. Front-load the intelligence, then deploy anywhere for pennies.
π‘ Why this matters: We're finally seeing a path away from the "per-request tax" of modern AI. It turns intelligence into a fixed asset instead of a variable cost.
Source: VentureBeat
UC Santa Barbara researchers just built digital Darwinism. These AI agents evolve as a group, matching human-engineered systems on SWE-bench.
The kicker? ZERO inference cost after evolution. No API calls. No token limits. No ongoing AI bill. Front-load the intelligence, then deploy anywhere for pennies.
π‘ Why this matters: We're finally seeing a path away from the "per-request tax" of modern AI. It turns intelligence into a fixed asset instead of a variable cost.
Source: VentureBeat
Venturebeat
New agent framework matches human-engineered AI systems β and adds zero inference cost to deploy
A new group-evolving agent framework from UC Santa Barbara matches human-engineered AI systems on SWE-bench β and adds zero inference cost to deploy. Here's how it works.
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Forwarded from TestingCatalog AI News π (Alexey)
Gemini 3.1 Pro Preview today confirmed.
Would be breaking π
Would be breaking π
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π¨ Meta spends $65M to buy an AI-friendly future
Mark Zuckerberg isn't just building Llama. He's building a political firewall. Meta has reportedly poured $65 million into US state-level elections, targeting candidates who will back pro-AI legislation and data center expansion.
This is a massive strategic shift. While the world watches DC, Meta is focusing on the states where actual AI regulations are being fought. They're backing super PACs in Texas, Florida, and Ohio to ensure the "Year of the Agent" isn't slowed down by red tape.
π‘ Why this matters:
It shows that Big Tech views regulation as the single biggest threat to their AI dominance. By funding the ground game, Meta is ensuring that the rules of the AGI race are written in their favor.
Source: The Decoder
Mark Zuckerberg isn't just building Llama. He's building a political firewall. Meta has reportedly poured $65 million into US state-level elections, targeting candidates who will back pro-AI legislation and data center expansion.
This is a massive strategic shift. While the world watches DC, Meta is focusing on the states where actual AI regulations are being fought. They're backing super PACs in Texas, Florida, and Ohio to ensure the "Year of the Agent" isn't slowed down by red tape.
π‘ Why this matters:
It shows that Big Tech views regulation as the single biggest threat to their AI dominance. By funding the ground game, Meta is ensuring that the rules of the AGI race are written in their favor.
Source: The Decoder
The Decoder
Meta pours $65 million into state elections to back AI-friendly politicians
Meta is investing $65 million to influence state-level elections across the US, backing politicians friendly to AI.
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The alignment problem is real. π
Everyone on stage is holding hands at the India AI Summit. Sam Altman and Dario Amodei? Hard pass.
Two people who talk about AI cooperation, existential risk, and the future of humanity every single day, standing right next to each other, refusing to join the circle.
Dario probably ran a safety evaluation on the handhold first. Sam was waiting for the feature to ship.
The hardest coordination problem in AI isn't multi-agent systems. It's getting the two biggest CEOs in the room to link up.
Some bugs can't be patched. π
Everyone on stage is holding hands at the India AI Summit. Sam Altman and Dario Amodei? Hard pass.
Two people who talk about AI cooperation, existential risk, and the future of humanity every single day, standing right next to each other, refusing to join the circle.
Dario probably ran a safety evaluation on the handhold first. Sam was waiting for the feature to ship.
The hardest coordination problem in AI isn't multi-agent systems. It's getting the two biggest CEOs in the room to link up.
Some bugs can't be patched. π
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π¨ BREAKING: Google Gemini 3.1 Pro Preview Model is available on Google Vertex AI and AI Studio
Google's latest SOTA reasoning model with unprecedented depth and nuance, and powerful multimodal understanding and coding capabilities:
π° <= 200K tokens β’ Input: $2.00 / Output: $12.00
π° > 200K tokens β’ Input: $4.00 / Output: $18.00
π Knowledge cut off: Jan 2025
Google's latest SOTA reasoning model with unprecedented depth and nuance, and powerful multimodal understanding and coding capabilities:
π° <= 200K tokens β’ Input: $2.00 / Output: $12.00
π° > 200K tokens β’ Input: $4.00 / Output: $18.00
π Knowledge cut off: Jan 2025
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π¨ OpenAI Nears Historic $100B+ Funding at $850B Valuation
This is it. The biggest private funding round in history is reportedly closing. Bloomberg and TechCrunch both confirm OpenAI is finalizing commitments exceeding $100 billion, pushing their valuation past $850 billion.
The investor lineup reads like a tech summit guest list: Amazon (up to $50B), SoftBank ($30B), Nvidia ($20B), and Microsoft. This isn't just about cash. It's about locking in the compute pipeline for the next decade of AGI development.
π‘ Why this matters:
When you're raising $100 billion, you're no longer a startup. You're building infrastructure at a national scale. This deal effectively guarantees OpenAI's dominance in the foundation model race, unless regulators step in.
Source: Bloomberg | TechCrunch
This is it. The biggest private funding round in history is reportedly closing. Bloomberg and TechCrunch both confirm OpenAI is finalizing commitments exceeding $100 billion, pushing their valuation past $850 billion.
The investor lineup reads like a tech summit guest list: Amazon (up to $50B), SoftBank ($30B), Nvidia ($20B), and Microsoft. This isn't just about cash. It's about locking in the compute pipeline for the next decade of AGI development.
π‘ Why this matters:
When you're raising $100 billion, you're no longer a startup. You're building infrastructure at a national scale. This deal effectively guarantees OpenAI's dominance in the foundation model race, unless regulators step in.
Source: Bloomberg | TechCrunch
Bloomberg.com
OpenAI Funding on Track to Top $100 Billion in Latest Round
OpenAI is close to finalizing the first phase of a new funding round that is likely to bring in more than $100 billion, according to people familiar with the matter, a record-breaking financing deal that would give the startup additional capital to buildβ¦
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π US State Dept Launches "Freedom.gov" to Bypass Global Censorship
This is a wild one. The US government is officially entering the VPN game. They are launching freedom.gov, a portal designed to let users worldwide bypass content bans from the EU's Digital Services Act and the UK's Online Safety Act.
It is essentially a government-backed tunnel into the "unfiltered" internet, framed as a tool for free expression. It is already causing a massive legal and diplomatic rift between the US and its European allies.
π‘ Why this matters:
We are seeing the first "Browser War" fought at the State Department level. When governments start building their own infrastructure to bypass other governments' laws, the concept of a "global internet" is officially over.
Source: Reuters | Independent
This is a wild one. The US government is officially entering the VPN game. They are launching freedom.gov, a portal designed to let users worldwide bypass content bans from the EU's Digital Services Act and the UK's Online Safety Act.
It is essentially a government-backed tunnel into the "unfiltered" internet, framed as a tool for free expression. It is already causing a massive legal and diplomatic rift between the US and its European allies.
π‘ Why this matters:
We are seeing the first "Browser War" fought at the State Department level. When governments start building their own infrastructure to bypass other governments' laws, the concept of a "global internet" is officially over.
Source: Reuters | Independent
Reuters
Exclusive: US plans online portal to bypass content bans in Europe and elsewhere
The portal could potentially put Washington in the unfamiliar position of appearing to encourage citizens to flout local laws.
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π¨ Pentagon Threatens Anthropic with "Supply Chain Risk" Designation
The standoff between Anthropic and the Pentagon just went nuclear. After weeks of arguing over "red lines" for military use, the Department of Defense is now considering designating Anthropic as a "Supply Chain Risk."
If this goes through, it wouldn't just kill the $200M contract: it would legally ban the entire US government and its thousands of contractors from using Claude. Pentagon CTO Heidi Shyu doubled down today, calling it "not democratic" for a private lab to unilaterally decide which military missions are "safe."
π‘ Why this matters:
This is the first time the US government has used its "Supply Chain" teeth against a domestic AI lab. It proves that for the Pentagon, "safety vibes" aren't an excuse to ignore mission requirements. If Anthropic doesn't blink, they could be effectively locked out of the entire federal market.
Source: The Guardian | Yahoo News | Times of India
The standoff between Anthropic and the Pentagon just went nuclear. After weeks of arguing over "red lines" for military use, the Department of Defense is now considering designating Anthropic as a "Supply Chain Risk."
If this goes through, it wouldn't just kill the $200M contract: it would legally ban the entire US government and its thousands of contractors from using Claude. Pentagon CTO Heidi Shyu doubled down today, calling it "not democratic" for a private lab to unilaterally decide which military missions are "safe."
π‘ Why this matters:
This is the first time the US government has used its "Supply Chain" teeth against a domestic AI lab. It proves that for the Pentagon, "safety vibes" aren't an excuse to ignore mission requirements. If Anthropic doesn't blink, they could be effectively locked out of the entire federal market.
Source: The Guardian | Yahoo News | Times of India
the Guardian
US military used Anthropicβs AI model Claude in Venezuela raid, report says
Wall Street Journal says Claude used in operation via Anthropicβs partnership with Palantir Technologies
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π¨ Google Drops Gemini 3.1 Pro: The Reasoning Leap π
Google just previewed Gemini 3.1 Pro, and the reasoning jumps are wild. Itβs tuned for complex logic, beating abstract tests that usually trip up the best models.
β’ ARC-AGI-2: Scored 77.1% (more than double 3.0 Pro's 31.1%).
β’ Science/Reasoning: Hits 94.3% on GPQA Diamond, pulling ahead of Claude Opus 4.6 and GPT-5.2.
β’ Coding: 80.6% on SWE-Bench Verified; elite tier for agentic coding.
π‘ Why this matters: Weβre moving from chatbots to agents that can actually synthesize complex data. Gemini 3.1 Pro is Googleβs bid to own the high-reasoning space.
Source: Google Blog
Google just previewed Gemini 3.1 Pro, and the reasoning jumps are wild. Itβs tuned for complex logic, beating abstract tests that usually trip up the best models.
β’ ARC-AGI-2: Scored 77.1% (more than double 3.0 Pro's 31.1%).
β’ Science/Reasoning: Hits 94.3% on GPQA Diamond, pulling ahead of Claude Opus 4.6 and GPT-5.2.
β’ Coding: 80.6% on SWE-Bench Verified; elite tier for agentic coding.
π‘ Why this matters: Weβre moving from chatbots to agents that can actually synthesize complex data. Gemini 3.1 Pro is Googleβs bid to own the high-reasoning space.
Source: Google Blog
Google
Gemini 3.1 Pro: A smarter model for your most complex tasks
3.1 Pro is designed for tasks where a simple answer isnβt enough.
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π‘οΈ Code Metal Hits $1.25B Unicorn Status π‘οΈ
Code Metal just secured $125M in Series B funding led by Salesforce Ventures. They aren't just vibe coding, they're building the verifiable infrastructure for the U.S. Air Force and the edge.
β’ $1.25B Valuation: Salesforce Ventures bets big on AI-native defense.
β’ Verifiable Code: Moving from "hope-it-works" AI to secure, mission-critical systems.
β’ Edge First: Redefining how software runs on high-stakes hardware.
π‘ Why this matters: As AI agents move into kinetic systems, the stakes for "correctness" are absolute. Code Metal is building the guardrails for the agentic revolution.
Source: Wired
Code Metal just secured $125M in Series B funding led by Salesforce Ventures. They aren't just vibe coding, they're building the verifiable infrastructure for the U.S. Air Force and the edge.
β’ $1.25B Valuation: Salesforce Ventures bets big on AI-native defense.
β’ Verifiable Code: Moving from "hope-it-works" AI to secure, mission-critical systems.
β’ Edge First: Redefining how software runs on high-stakes hardware.
π‘ Why this matters: As AI agents move into kinetic systems, the stakes for "correctness" are absolute. Code Metal is building the guardrails for the agentic revolution.
Source: Wired
WIRED
Code Metal Raises $125 Million to Rewrite the Defense Industryβs Code With AI
The Boston startup uses AI to translate and verify legacy software for defense contractors, arguing modernization canβt come at the cost of new bugs.
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π¨ Loblaw + Google: "AI Mode" for Groceries π
Canadaβs retail giant Loblaw is launching a new "AI Mode" for shopping through a deep partnership with Google. They are integrating Gemini directly into the PC Express experience to handle meal planning and deal hunting for millions of Canadians.
β’ Gemini Integration: Moving past basic search to a full "shopping agent" that understands nutrition and budgets.
β’ Canadian First: One of the largest real-world deployments of Gemini in the retail space specifically for the Canadian market.
β’ Rolling Out: Starting with health, beauty, and apparel before hitting the grocery aisles.
π‘ Why this matters: This is where AI hits the real world for most people. It's the shift from Gemini being a chatbot to being the engine behind how people actually buy their essentials.
Source: BayStreet News
Canadaβs retail giant Loblaw is launching a new "AI Mode" for shopping through a deep partnership with Google. They are integrating Gemini directly into the PC Express experience to handle meal planning and deal hunting for millions of Canadians.
β’ Gemini Integration: Moving past basic search to a full "shopping agent" that understands nutrition and budgets.
β’ Canadian First: One of the largest real-world deployments of Gemini in the retail space specifically for the Canadian market.
β’ Rolling Out: Starting with health, beauty, and apparel before hitting the grocery aisles.
π‘ Why this matters: This is where AI hits the real world for most people. It's the shift from Gemini being a chatbot to being the engine behind how people actually buy their essentials.
Source: BayStreet News
Baystreet
Loblaw Partners With Google On A.I. Shopping Initiative
Canadian grocery retailer Loblaw Cos. (TSE: L) is partnering with Google parent company Alphabet (GOOGL) on a new artificial intelligence (A.I.) shopping initiative. Going forward, Loblaw says consumers will be able to shop for food, beauty products ...
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π Hugging Face + Unsloth: Free Fine-Tuning for All π
Hugging Face and Unsloth just launched a massive campaign to democratize fine-tuning. They are giving away free GPU credits on HF Jobs so any developer can train their own models without needing their own infrastructure.
β’ Zero Cost Entry: Removing the hardware barrier for the open-source community.
β’ Unsloth Speed: Leveraging the Unsloth optimization to make training faster and cheaper on the backend.
β’ Community Play: A targeted push to keep open-source momentum alive as the closed-lab funding rounds hit the billions.
π‘ Why this matters: While the big labs fight over $100B funding rounds, Hugging Face is arming the "little guys" with the tools to stay competitive. It's a play for developer mindshare over raw compute power.
Source: X (Twitter)
Hugging Face and Unsloth just launched a massive campaign to democratize fine-tuning. They are giving away free GPU credits on HF Jobs so any developer can train their own models without needing their own infrastructure.
β’ Zero Cost Entry: Removing the hardware barrier for the open-source community.
β’ Unsloth Speed: Leveraging the Unsloth optimization to make training faster and cheaper on the backend.
β’ Community Play: A targeted push to keep open-source momentum alive as the closed-lab funding rounds hit the billions.
π‘ Why this matters: While the big labs fight over $100B funding rounds, Hugging Face is arming the "little guys" with the tools to stay competitive. It's a play for developer mindshare over raw compute power.
Source: X (Twitter)
X (formerly Twitter)
Ben Burtenshaw (@ben_burtenshaw) on X
You can finetune AI models with Unsloth + Hugging Face, and right now itβs free!
We're giving away GPU credits on HF Jobs + Unsloth.
Train a 1.2B model like @liquidai LFM2.5-1.2B with one command. Ship it to your phone, laptop, or API.
No infra. No setup.β¦
We're giving away GPU credits on HF Jobs + Unsloth.
Train a 1.2B model like @liquidai LFM2.5-1.2B with one command. Ship it to your phone, laptop, or API.
No infra. No setup.β¦
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Robot Builds a 200 mΒ² House in 24 Hours ποΈ
A new construction robot just demonstrated it can build a roughly 200-square-meter house in about 24 hours. The system combines automated fabrication and assembly to deliver a complete shell an order of magnitude faster than traditional methods.
β’ Speed: 24 hours for a full house shell vs. weeks or months traditionally.
β’ End-to-End: Not just 3D printing, full automated fabrication and assembly.
β’ Scalable Impact: Potential to reshape construction costs and ease housing shortages.
π‘ Why this matters: This is embodied AI hitting real-world productivity levels. If this generalizes beyond test sites, it changes the math on labor costs, disaster relief, and urban development.
Source: https://www.southland-tv-appliance.com/a-robot-can-now-build-a-200-mΒ²-house-in-just-24-hours-a-major-technological-breakthrough-that-could-reshape-construction-and-ease-the-housing-crisis/
A new construction robot just demonstrated it can build a roughly 200-square-meter house in about 24 hours. The system combines automated fabrication and assembly to deliver a complete shell an order of magnitude faster than traditional methods.
β’ Speed: 24 hours for a full house shell vs. weeks or months traditionally.
β’ End-to-End: Not just 3D printing, full automated fabrication and assembly.
β’ Scalable Impact: Potential to reshape construction costs and ease housing shortages.
π‘ Why this matters: This is embodied AI hitting real-world productivity levels. If this generalizes beyond test sites, it changes the math on labor costs, disaster relief, and urban development.
Source: https://www.southland-tv-appliance.com/a-robot-can-now-build-a-200-mΒ²-house-in-just-24-hours-a-major-technological-breakthrough-that-could-reshape-construction-and-ease-the-housing-crisis/
π The Agentic Protocol Wars Are Here
Forget the chatbot wars. We're now in the protocol era. Google and Shopify just officially launched the Universal Commerce Protocol (UCP). It's a direct shot at OpenAI owning the 'Buy' button for AI agents.
OpenAI already has its own standard with Stripe called ACP. But Google just brought 20 major retailers like Walmart and Etsy into their camp. Walmart's already seeing a 35% jump in order value from its AI shopper. This isn't just a new feature. It's a fight over who owns the 'RPC' for the global economy.
π‘ Why this matters:
This is the protocol-level hacking you need to watch. If your agent is going to buy things for you without a human UI, it needs a language to talk to the store. Whoever wins this protocol war becomes the gatekeeper of every automated transaction on the planet.
Source: Shopify News | Google Blog
Forget the chatbot wars. We're now in the protocol era. Google and Shopify just officially launched the Universal Commerce Protocol (UCP). It's a direct shot at OpenAI owning the 'Buy' button for AI agents.
OpenAI already has its own standard with Stripe called ACP. But Google just brought 20 major retailers like Walmart and Etsy into their camp. Walmart's already seeing a 35% jump in order value from its AI shopper. This isn't just a new feature. It's a fight over who owns the 'RPC' for the global economy.
π‘ Why this matters:
This is the protocol-level hacking you need to watch. If your agent is going to buy things for you without a human UI, it needs a language to talk to the store. Whoever wins this protocol war becomes the gatekeeper of every automated transaction on the planet.
Source: Shopify News | Google Blog
Shopify
The agentic commerce platform: Shopify connects any merchant to every AI conversation
Shopify now enables native commerce at scale across all major AI channels and built an open standard, co-developed with Google.
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π οΈ Taalas and the End of General-Purpose AI Hardware
Toronto-based Taalas just raised $169M to do something radical. They aren't building another GPU. They're hardwiring specific AI models directly into the silicon.
By etching model weights into the chips, they're claiming 73x the performance of an NVIDIA H200 while using 1/10th of the power. Their first target is a dedicated Llama 3.1 8B chip. This moves us away from 'one size fits all' GPUs toward 'model-native' infrastructure that can run agents 24/7 for pennies.
π‘ Why this matters:
This is the ultimate builder's pivot. General-purpose hardware is great for research, but it's inefficient for production-scale agents. If you can run a specific model at 70x speed on a fraction of the power, the cost of 'always-on' intelligence basically hits zero. It changes the math for everything from mobile games to autonomous SOCs.
Source: SiliconANGLE | Tea4Tech
Toronto-based Taalas just raised $169M to do something radical. They aren't building another GPU. They're hardwiring specific AI models directly into the silicon.
By etching model weights into the chips, they're claiming 73x the performance of an NVIDIA H200 while using 1/10th of the power. Their first target is a dedicated Llama 3.1 8B chip. This moves us away from 'one size fits all' GPUs toward 'model-native' infrastructure that can run agents 24/7 for pennies.
π‘ Why this matters:
This is the ultimate builder's pivot. General-purpose hardware is great for research, but it's inefficient for production-scale agents. If you can run a specific model at 70x speed on a fraction of the power, the cost of 'always-on' intelligence basically hits zero. It changes the math for everything from mobile games to autonomous SOCs.
Source: SiliconANGLE | Tea4Tech
SiliconANGLE
Taalas raises $169M in funding to develop model-specific AI chips
Taalas Inc., a startup that develops chips optimized to run specific artificial intelligence models, has raised $169 million in funding.Reuters reported today that the companyβs backers include
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