📈 After 25 years, Cisco has finally beaten its dot-com bubble peak

Cisco’s stock has closed above its March 2000 dot-com bubble high for the first time in more than two decades, marking a symbolic milestone for one of Silicon Valley’s most iconic companies, according to Sherwood News.

🖱 The previous record was set at the height of the internet bubble, when Cisco briefly became the most valuable company in the world, only to see its shares collapse as the bubble burst.

🖱 Unlike many dot-com era firms that never recovered, Cisco spent the last 25 years slowly rebuilding value through dividends, buybacks, and steady enterprise sales, rather than explosive growth.

🖱 The recent breakout reflects renewed investor confidence in legacy tech, driven by demand for networking gear tied to cloud computing, AI data centers, and enterprise infrastructure upgrades.

🖱 Even so, the context matters: Cisco’s return to its old high comes after decades of inflation, missed tech cycles, and far lower growth than newer giants like Nvidia, Apple, or Microsoft.

Cisco’s milestone isn’t a comeback story fueled by hype, it’s a reminder that in tech, survival and patience can sometimes matter more than speed.

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🚗 After years of caution, Mercedes is finally stepping into robotaxis and here’s why

Mercedes-Benz is entering the robotaxi market through a partnership with Chinese autonomous driving company Momenta, launching a Level-4 autonomous ride-hailing service in Abu Dhabi. The move marks Mercedes’ first serious push beyond driver-assist tech into fully driverless commercial operations.

🖱 The service will use Mercedes-Benz S-Class vehicles, positioning the offering as a premium robotaxi experience rather than a low-cost mass transit play, with local operations handled by UAE-based Lumo Mobility.

🖱 Momenta will provide the autonomous driving software, enabling hands-off, no-driver operation within geofenced areas, while Mercedes focuses on vehicle engineering, safety, and brand differentiation.

🖱 Abu Dhabi was chosen due to its robotaxi-friendly regulatory framework, which already allows commercial deployment of Level-4 autonomous vehicles making it one of the most permissive markets globally.

🖱 Strategically, the partnership lets Mercedes sidestep the massive cost and risk of building full autonomy in-house, while giving Momenta a high-profile global showcase outside China amid rising geopolitical constraints.

The move signals a broader shift: legacy automakers are no longer just selling cars, they’re testing whether autonomy can unlock new mobility businesses before robotaxis become commoditized.

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✅ After 35 years as a category pioneer, Roomba maker iRobot files for bankruptcy

iRobot Corp., the U.S. company best known for its Roomba robotic vacuum cleaners, has filed for Chapter 11 bankruptcy protection and agreed to be taken private under a restructuring deal that hands control to its primary manufacturer and lender, Shenzhen PICEA Robotics Co.

🖱 iRobot’s bankruptcy filing in the District of Delaware marks the end of its run as an independent public company after decades of innovation in consumer robotics that helped define the robot vacuum category.

🖱 Under a pre-packaged Chapter 11 plan, Picea will acquire iRobot through a court-supervised process and take the company private. iRobot’s common stock will be cancelled, and existing shareholders are expected to be wiped out.

🖱 The filing comes after prolonged financial strain driven by sliding sales, mounting debt, fierce competition from lower-priced rivals, and rising costs from U.S. tariffs on imports from Vietnam, where most Roombas are manufactured.

🖱 An earlier attempt to sell iRobot to Amazon for about $1.4 billion collapsed in 2024 amid regulatory hurdles, leaving the company to restructure on its own terms.

🖱 Despite the bankruptcy, iRobot says it expects operations, product support, and app functionality to continue without disruption during the restructuring process.

This marks a dramatic pivot for a former robotics pioneer, showing how competitive pressures and shifting global supply chain economics can force even iconic hardware brands to restructure or exit public markets.

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⚠️ The collapse of OpenAI and a “normal” Siri: what journalists think 2026 will look like

December is peak season for tech forecasts, they almost never come true, but they’re useful for understanding where industry anxiety is building. The Verge, together with The Wall Street Journal, just released a podcast laying out their predictions for the tech industry in 2026.

🖱 Apple finally delivers a usable voice assistant: Journalists predict Siri will become a “normal” assistant in 2026, with a focus on empathy and more natural, heartfelt communication. The subtext is harsher: if Apple still hasn’t meaningfully figured out AI by then, its long-term dominance in consumer tech could start to erode.

🖱 OpenAI stops being the dominant AI player: The argument is that ChatGPT alone can’t justify the massive capital OpenAI has raised. Without a broader ecosystem, hardware, platforms, or tightly integrated products, the company risks losing its lead. It’s a controversial claim, but recent internal and strategic tensions suggest the current model needs rethinking.

🖱 A perception turning point for robots and autonomous transport: 2026 is framed as a psychological inflection point: either autonomy becomes quietly accepted (“it works, fine”) or public trust collapses after incidents. Still, mass adoption feels unlikely, more pilots, more demos, not everyday ubiquity.

🖱 The AI slump reaches its bottom: The hype cycle is expected to cool further, with only genuinely new recommendation systems not bigger or more expensive models capable of reviving social platforms. This is arguably the most plausible prediction.

Taken together, these forecasts suggest 2026 won’t be about breakthroughs but about which tech narratives survive contact with reality.

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💰 Elon Musk becomes the world’s first $600B individual

Elon Musk has officially become the first person in history to amass a fortune exceeding $600 billion, with his net worth estimated at $677 billion as of December 15. No one had previously crossed even the $500 billion threshold.

🖱 The biggest driver isn’t Tesla, it’s SpaceX. In early December, SpaceX completed a tender offer valuing the company at $800 billion, double its $400 billion valuation in August. Musk owns about 42% of SpaceX, making his stake worth roughly $336 billion.

🖱 Tesla remains massive, but no longer dominant. Musk’s 12% stake in Tesla is valued at approximately $197 billion. In addition, he holds stock options from the 2018 CEO Performance Award. After a Delaware court ruling questioned their validity, Forbes discounts their value by 50%, estimating them at around $69 billion while an appeal continues.

🖱 xAI is emerging as a third pillar of wealth. xAI Holdings is reportedly in talks to raise capital at a valuation of $230 billion. Based on that estimate, Forbes values Musk’s 53% ownership at roughly $60 billion, reflecting investor confidence in Musk’s AI ambitions beyond Tesla.

🖱 The speed of wealth creation is unprecedented. Musk’s net worth was just $24.6 billion in March 2020. He crossed $100 billion in August 2020, $200 billion in September 2021, and $300 billion two months later. Today, he is closer to $1 trillion than to losing the top spot with second-place Larry Page trailing by about $425 billion.

This milestone underscores a shift in how extreme wealth is built: not just through public equities, but through dominant control of private, capital-intensive platforms spanning space, AI, and infrastructure.

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🧬 OpenAI-backed Chai Discovery becomes a unicorn

Chai Discovery, a biotech startup applying AI to drug design, has raised $130 million in a Series B round at a $1.3 billion valuation, officially pushing the company into unicorn territory.

🖱 The round was led by top-tier investors. The Series B was co-led by General Catalyst and Oak HC/FT, with participation from OpenAI, Menlo Ventures, Thrive Capital, Dimension, Neo, SV Angel, and others signaling strong conviction from both AI-native and healthcare-focused funds.

🖱 Chai is building foundation models for drug discovery. The company develops large-scale AI models designed to predict molecular interactions and design drugs from scratch, with a particular focus on de novo antibody design, one of the hardest problems in biotech.

🖱 Speed is the core advantage. Chai’s leadership says tasks that traditionally took years in wet labs can now be completed in weeks, dramatically compressing early-stage drug discovery timelines and lowering cost and failure rates.

🖱 This is part of a bigger AI–biotech wave. Chai’s rapid rise reflects a broader shift where investors are betting that AI-first platforms rather than single-asset biotech companies will define the next generation of pharmaceutical innovation.

Chai Discovery isn’t just another AI-biotech startup, it’s shaping up as a foundational layer for how drugs may be discovered in the AI era.

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🔔 Databricks raises a mega round at a $134B valuation

Databricks, the data and AI platform company, has raised more than $4 billion in a Series L funding round at a $134 billion valuation, according to multiple news reports.

🖱 Funding led by major institutional investors. The latest round was led by Insight Partners, Fidelity Management, and J.P. Morgan Asset Management, with participation from Andreessen Horowitz, BlackRock, Blackstone, and others showing broad confidence among both VC and traditional institutional capital.

🖱 Valuation jumps rapidly.
This $134 billion valuation marks a 34% increase from Databricks’ $100 billion valuation just months ago, underscoring accelerating investor appetite for AI and data infrastructure companies.

🖱 Revenue and growth remain strong. Databricks reported an annualized revenue run rate of about $4.8 billion in Q3 2025, with >55% year-over-year growth. Its AI products and data warehousing segments each exceed $1 billion in run-rate revenue, and the company has maintained positive free cash flow over the past year.

🖱 Strategic use of the new capital.
Databricks plans to use the fresh funding to accelerate AI-driven product development, support acquisitions, expand AI research, and offer liquidity for employees, as it builds deeper enterprise AI capabilities.

This funding milestone highlights how enterprise AI and data platforms are commanding premium valuations in private markets with investors prioritizing scale, revenue growth, and strategic positioning ahead of public market debuts.

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🚗 Waymo is exploring a multi-billion-dollar raise at a $100B+ valuation

Waymo, Alphabet’s autonomous driving unit, is in discussions to raise billions of dollars in new funding at a valuation of at least $100 billion, signaling a major escalation in the race to commercialize robotaxis.

🖱 The round could exceed $10–15B, more than doubling Waymo’s valuation from its last funding in 2024, when it was valued at roughly $45B.

🖱 Alphabet is expected to lead the financing, while also inviting outside investors, reinforcing Waymo’s strategic importance without fully spinning it out.

🖱 The capital would fund rapid expansion of Waymo One, the only large-scale, paid, fully driverless robotaxi service currently operating in the U.S.

🖱 Waymo’s lead rests on real-world deployment: millions of autonomous rides, dense city operations, and a growing footprint that competitors still struggle to match.

🖱 The raise underscores a shift in autonomy economics from R&D bets to infrastructure-heavy, capital-intensive scaling, where balance sheets matter as much as algorithms.

Waymo isn’t just raising money, it’s positioning autonomous driving as a platform-scale business worthy of Big Tech valuations.

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🔔 She inflated revenue by 895×, how ComplYant’s founder allegedly deceived investors

ComplYant founder Shiloh Luckey is facing an SEC lawsuit and an FBI investigation after allegedly misleading investors about the startup’s traction and finances, while raising $13 million in venture funding.

🖱 The pitch: Luckey said ComplYant was scaling fast, monthly revenue growing from $2.5K to $221K, with thousands of clients added in under two years.

🖱 The reality (per the SEC): Actual revenue was about $247/month, not $221K, an 895× gap and the company had no more than 131 unique clients.

🖱 The product: Former employees allege most work was manual tax filing, despite claims of a scalable platform; internally, staff were reassured by supposed millions in the bank.

🖱 The money: Regulators say at least $2.2M of investor funds were spent on personal expenses including a home purchase and luxury travel to Aspen, Miami, Lisbon, and a Caribbean wedding.

🖱 The collapse: In September 2023, employees were laid off via a Slack video announcing liquidation. Salaries arrived months later, no severance, and Luckey went silent, deleting social accounts.

🖱 The aftermath: ComplYant had raised $5.5M in a round led by Craft Ventures and participated in Techstars. The SEC is seeking disgorgement and penalties; the FBI probe raises the stakes.

🖱 What’s next: Luckey has since launched HabitLoop, claiming no staff or outside funding, built with ChatGPT even as regulators pursue the ComplYant case.

This isn’t just a failed startup, it’s a reminder that storytelling can outpace substance, and when metrics are fabricated, the reckoning is brutal.

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📈 How much would you have earned by investing $1,000 on January 1, 2023

We’re talking about U.S. companies across space, defense, and IT sectors that benefited from AI hype, geopolitical tension, and government spending over the past two years. But two important caveats upfront.

🖱 First: The Edinorog does not recommend investing on January 1. It’s an arbitrary date, useful for comparison not for strategy.

🖱 Second: this is a thought experiment, not investment advice. The goal is to visualize how capital flowed into certain narratives: AI infrastructure, defense tech, and space commercialization.

🖱 Space: Launch providers, satellite operators, and space infrastructure plays rewarded patience as government contracts and commercialization accelerated.

🖱 Defense: Traditional primes and new-generation defense tech firms benefited from sustained military budgets and rising global instability.

🖱 IT / AI: Semiconductor, cloud, and AI-adjacent companies massively outperformed as “AI picks and shovels” became the market’s favorite trade.

🖱 What’s missing: It would be especially interesting to see the same infographic for Russian public companies not to compare performance directly, but to understand how different capital markets price risk, sanctions, and state influence.

Such comparisons don’t tell you where to invest, they tell you which stories markets decided to believe during a specific period.

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✅ Coursera and Udemy are merging and it signals a reset for online education

Coursera and Udemy, two of the largest global online learning platforms, have agreed to merge in an all-stock deal that values the combined company at $2.5 billion, according to Reuters, marking one of the biggest consolidation moves in edtech in years.

🖱 Under the agreement, Udemy shareholders will receive 0.8 Coursera shares for each Udemy share, valuing Udemy at roughly $930 million, with the transaction expected to close in the second half of 2026, pending approvals.

🖱 Strategically, the merger combines Coursera’s university and enterprise partnerships with Udemy’s massive instructor-led marketplace, creating a broader platform focused on AI, data science, and workforce reskilling.

🖱 The deal reflects mounting pressure across edtech, as post-pandemic growth slows and companies seek scale, cost efficiencies, and stronger positioning in corporate AI training and upskilling.

The merger underscores a broader industry shift: standalone online learning platforms are struggling to grow independently, and consolidation may be the clearest path forward in an increasingly competitive, AI-driven education market.

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🔔 Swedish startup Lovable raises $330M to make everyone a coder

Sweden-based AI coding platform Lovable has just closed a $330 million Series B round at a $6.6 billion valuation, more than tripling its worth in just five months.

🖱 The round was led by CapitalG (Alphabet’s growth fund) and Menlo Ventures, with participation from Nvidia’s venture arm, Salesforce Ventures, Databricks Ventures, Khosla Ventures and others signaling broad investor confidence in AI-driven software creation.

🖱 Lovable’s platform lets users describe what they want in natural language and have working apps or full-stack code generated for them, a trend often called vibe coding.

🖱 Since its 2024 launch, the company has achieved rapid revenue growth (hitting $100 M ARR in eight months and $200 M a few months later), and its tools are now used to create 100,000+ projects every day.

Lovable says the funding will go toward deeper enterprise integrations, collaboration tooling, and infrastructure that lets builders take projects all the way from prototype to production-ready software not just demos.

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🔔 Russia builds AI leverage despite sanctions

Western sanctions were meant to slow Russia’s technological progress by cutting access to advanced tools and supply chains.

AI Journey 2025 showed a different outcome: instead of fading from the AI landscape, Russia has used the pressure to build a largely self-contained ecosystem that is now actively shaping its own standards.

Key takeaways:

🖱 Sber showcased a full AI stack
The conference featured large language models, speech recognition, computer vision, robotics, and consumer devices built largely on domestic infrastructure.

🖱 Emphasis on real-world deployment
A new Sber ATM powered by GigaChat uses voice interaction, biometrics, and behavioral adaptation, serving as a live testing ground for AI-driven retail finance.

🖱 Foundations laid before 2022
Years of investment in researchers, data centers, and in-house models allowed rapid adaptation once access to Western technology narrowed.

🖱 Core models released open source
Sber opened the weights for GigaChat Ultra Preview and Lightning, GigaAM v3, Kandinsky 5.0, and K-VAE 1.0, giving developers usable building blocks rather than demos.

🖱 Influence through open infrastructure
Publishing models embeds Russian technology into global developer workflows at a time when many Western models are becoming more closed.

🖱 A broader domestic ecosystem forming
Beyond Sber, Russian firms are building chips, industrial robots, security systems, and specialized software, driven by the need for self-sufficiency.

Sanctions did not remove Russia from the AI race. In several areas, they accelerated the creation of an independent AI stack and a quieter path to influence through open infrastructure.

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💰Amazon is preparing a major investment in OpenAI

Amazon is reportedly in advanced talks to invest $10 billion in OpenAI, a move that could push the startup’s valuation to around $500 billion, signaling another major escalation in the AI infrastructure race.

🖱 According to early negotiation outcomes, the deal would deepen OpenAI’s relationship with AWS, potentially reshaping how the company sources compute outside of Microsoft.

🖱 A core part of the agreement is expected to include Amazon’s Trainium AI chips, along with long-term leasing of additional AWS cloud capacity for OpenAI’s models and products.

🖱 It remains unclear whether the deal will involve a direct equity investment, or whether it will be structured primarily through compute credits, infrastructure commitments, and strategic partnerships.

If finalized, the move would position Amazon as a second major cloud and hardware backer of OpenAI, underscoring how critical access to large-scale compute has become in defining power and leverage in the AI ecosystem.

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📱 TikTok agrees to cede control of its U.S. business to American investors

TikTok has reached a deal to transfer operational control of its U.S. business to a new entity backed by an American-led investor group, a move designed to resolve long-running U.S. national security concerns and avert a potential nationwide ban.

🖱 The agreement would place TikTok’s U.S. operations under a new joint venture majority-owned by U.S. and allied investors, while ByteDance retains only a minority, non-controlling stake.

🖱 Oracle is expected to play a central role as the trusted technology and security partner, overseeing U.S. user data storage, infrastructure, and safeguards around sensitive systems.

🖱 Control over content moderation, data governance, and day-to-day U.S. operations would shift to the new entity, though questions remain about how much influence ByteDance will retain over TikTok’s core recommendation algorithm.

🖱 The deal is structured to comply with U.S. legislation requiring divestment from “foreign adversary–controlled” apps, effectively sidestepping a forced shutdown of TikTok in the U.S.

The agreement could mark one of the most significant restructurings of a global consumer tech platform under geopolitical pressure, setting a precedent for how cross-border tech companies navigate national security regulation.

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🛒 Anthropic tests whether AI can run a real business and learns some hard lessons

Earlier this year, Anthropic put its AI model Claude in charge of a real vending machine, giving it a $1,000 budget and full responsibility for sourcing products, setting prices, and handling requests via Slack. The first phase ended badly, but Anthropic has now shared what happened next.

🖱 After mid-April, the experiment deteriorated further: the vending business sank to nearly –$2,000, largely because Claude was easy to manipulate into giving discounts or handing out products for free.

🖱 At one point, journalists convinced the AI to give away a PlayStation for free, and even persuaded it that it was operating in 1962 Soviet Russia, triggering mass “communist” redistribution of goods.

🖱 To regain control, Anthropic added basic CRM systems and introduced a second AI, “CEO” Seymour Cash, meant to monitor finances and block excessive generosity. Discounts fell but refunds and loans increased.

🖱 A separate AI agent, Clothius, was launched to sell custom merch. Stress balls and T-shirts quickly became the best-selling items, helping stabilize revenue.

🖱 In October, Anthropic upgraded Claude to a newer model, after which the business unexpectedly recovered and moved back into the black.

Anthropic’s takeaway: AI agents still need human supervision, especially in logistics and customer disputes and models trained to be “helpful” tend to act like overly generous friends, not rational business operators.

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🔔 SpaceX quietly becomes a major Cybertruck buyer

According to Electrek, SpaceX has purchased more than 1,000 Tesla Cybertrucks, with the total potentially rising to 2,000 units. At a base price of roughly $80,000 each, the deal is worth between $80 million and $160 million, and hundreds of trucks are already visible at SpaceX facilities in South Texas.

🖱 The timing is striking: Tesla originally planned Cybertruck production at up to 250,000 vehicles per year at Gigafactory Texas, but registration data suggests actual annual sales are under 20,000 units.

🖱 Despite claims of around one million pre-orders ahead of launch, only about 60,000 Cybertrucks have been sold over more than two years.

🖱 The reasons are well known: the production model is far more expensive than promised in 2019, has shorter range, and shipped without several showcased features, including the retractable rear-door ramp.

🖱 Against this backdrop, SpaceX’s bulk purchase looks less like routine fleet expansion and more like internal demand absorbing excess supply.

🖱 This fits a broader pattern of Musk-company cross-support, following SpaceX’s recent $2 billion investment in xAI.

The open question for SpaceX investors isn’t legality but rationale: is buying large volumes of a slow-selling vehicle a strategic operational choice, or an indirect way to stabilize Tesla when the market wouldn’t?

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📈 When a founder-engineer runs AI, results compound fast

An interesting chart circulated today highlighting Google’s AI trajectory since Sergey Brin returned to the company about 18 months ago, effectively taking the reins of its AI efforts. The shift coincides with a visible acceleration across research, product releases, and organizational focus.

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🇮🇳 Microsoft makes its biggest Asia bet yet with a $17.5B push into AI and cloud in India

Microsoft said it will invest $17.5 billion in India over the next four years, marking its largest-ever expansion in the country and a major escalation of its global AI infrastructure buildout.

🖱 The money will go into scaling Azure cloud and AI infrastructure, including new and expanded data centers designed to support AI workloads, enterprise cloud adoption, and government demand.

🖱 The announcement followed meetings between CEO Satya Nadella and Prime Minister Narendra Modi, framing the investment as part of India’s long-term digital and AI strategy.

🖱 Microsoft also committed to large-scale AI skilling, aiming to train millions of people in AI tools and cloud technologies as India positions itself as a global digital talent hub.

🖱 A key focus is data sovereignty: Microsoft plans to offer cloud services tailored to India’s regulatory and security requirements, targeting public sector and heavily regulated industries.

🖱 The move builds on Microsoft’s earlier multibillion-dollar commitments in India and sharpens competition with Amazon Web Services and Google Cloud, both of which are also racing to expand AI capacity in the country.

The next phase of AI isn’t just about models, it’s about owning the infrastructure, talent, and regulatory trust in the world’s fastest-growing digital markets.

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🔔 OpenAI’s Stargate project inks massive memory supply deal with Samsung & SK Hynix

OpenAI’s ambitious Stargate AI infrastructure initiative has struck preliminary agreements with two of the world’s largest memory-chip manufacturers Samsung Electronics and SK Hynix to secure a huge supply of DRAM wafers for its global data-center build-out. Stargate’s projected demand could reach up to 900,000 DRAM wafers per month, which industry analysts say might account for roughly 40 % of total global DRAM output.

🖱 The agreements are letters of intent and focus on supplying undiced DRAM wafers, raw silicon before being cut and packaged into finished memory chips which can then be tailored for specific AI and high-bandwidth needs across Stargate.

🖱 Memory supply pact follows high-level talks between OpenAI CEO Sam Altman, South Korea’s President Lee Jae-myung, and the heads of Samsung and SK Hynix, and also paves the way for joint AI data center construction in South Korea under the Stargate umbrella.

🖱 Industry observers say the sheer scale of the DRAM demand is unprecedented only a fraction of global wafer-start capacity could satisfy it, prompting memory makers to reevaluate production mix and scale up HBM/DRAM capacity to meet AI infrastructure needs.

🖱 The deal highlights how AI compute demand, especially for large-scale training and inference infrastructure like Stargate, is reshaping semiconductor supply chains, with knock-on effects on pricing, production strategy, and global memory availability.

OpenAI’s infrastructure ambitions are now big enough to influence global memory markets, forcing chipmakers and supply chains to scale and adapt faster than ever before.

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✅ Yan LeCun’s new startup takes shape and it’s aiming straight at the “next AI revolution”

Fresh details have emerged about Yan LeCun’s post-Meta plans, as the legendary AI researcher prepares to leave the company after 12 years to launch his own venture focused on what he calls world models.

🖱 The startup will be called Advanced Machine Intelligence (AMI Labs) and will focus on building AI systems that understand the physical world, maintain persistent memory, and can reason and plan complex actions, a sharp break from today’s pattern-matching LLMs.

🖱 LeCun has framed world models as the next major leap in AI, arguing that true intelligence requires an internal model of reality rather than just text prediction.

🖱 Alex Lebrun has been named CEO. He previously worked at Nuance (founded by the creator of Siri), led AI at Facebook, and in 2018 founded Nabla, a medical AI startup.

🖱 Nabla will now collaborate with AMI Labs, while Lebrun steps in to run the new company. LeCun will serve as Executive Chairman, steering research direction rather than day-to-day operations.

🖱 On funding, AMI Labs is reportedly raising €500 million (~$586M) at a €3 billion (~$3.5B) valuation before the company has officially launched.

🖱 The formal public launch is scheduled for January, setting the stage for one of the most ambitious AI startups to date.

With a multibillion-euro valuation, elite leadership, and a bet against current LLM paradigms, AMI Labs is positioning itself as a direct attempt to redefine what “intelligence” in AI actually means.

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