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Broadcom (NasdaqGS:AVGO) has introduced the BCM68850, described as the industry's first 50G ITU-PON home gateway SoC. The chip integrates a neural processor on the device and supports Wi-Fi 8 for home networking. The launch highlights Broadcom's push to extend its AI and connectivity portfolio into residential broadband gateways. For you as an investor, this positions Broadcom at the intersection of broadband access, edge AI, and next generation Wi-Fi. The company already has a large...



Last week, AMD announced a $10 billion investment in Taiwan to boost manufacturing partnerships in that country, which is home to the world’s largest contract chip manufacturer, TSMC.

Trajectory is betting the rapid iteration cycle that supercharged vibe-coding can help all kinds of companies build AI products that learn continuously.

SOND, a startup led by Bose’s former head of sleep products, emerged from stealth with $7M in funding for its AI-powered sleep earbuds.

YouTube will now automatically label videos that use significant photorealistic AI, instead of relying solely on creators to disclose AI-generated content themselves. It's also making AI labels more prominent.

China's AI boom is producing world-class talent, and Beijing is increasingly reluctant to let them go elsewhere.

The labels are more prominent, and they actually say “AI” now. | Image: YouTube / The Verge In the wake of Google expanding its AI verification efforts at I/O, YouTube is now finally going to start taking AI labeling seriously. YouTube has announced that it's relocating AI disclosures on Shorts and long-form videos to make them easier to spot and will start automatically identifying and labeling AI-generated content on the platform. For regular YouTube videos, the label - which says "AI" next to a recognizable information symbol - will now appear directly below the video player, above the description. Currently, this information is hidden on the videos themselves and can only be viewed by expanding the video description and checki … Read the full story at The Verge.

The HTV-X1 delivered supplies to the international space station and then carried out missions in orbit around the Earth in and after March this year.

Manufacturing isn’t just about machines anymore. Now, success relies on engineering those machines well, keeping them connected and adjusting them to match what’s actually happening on the factory floor. Application engineering for assembly systems is pushing this change, especially as factories aim for higher output while cutting errors. Companies like Atlas Copco are all in, […]

In Magnifica Humanitas, the Pope decries the concentration of technological power in a few global players.

OneQode’s phased rollout begins with AMD Instinct MI355X GPUs, with future plans to introduce the AMD Helios platform.

"CEOs are uniquely prone to AI psychosis," Box CEO Aaron Levie opines. Maybe that explains the almost religious belief in AI productivity gains.

Nvidia (NasdaqGS:NVDA) plans to boost its annual investment in Taiwan to US$150b. The company will build a new Taiwan headquarters designed for about 4,000 engineers. Management is positioning Taiwan as Nvidia's central hub for AI manufacturing and R&D activity. Nvidia, known for its GPUs and AI computing platforms, is reinforcing Taiwan as a core part of its global footprint rather than just a manufacturing base. For investors following AI infrastructure, this move highlights how closely...
See how OpenAI, Thrive, and Crete built a self-improving tax agent with Codex, automating filings, improving accuracy, and accelerating workflows.

On Monday, Pope Leo XIV unveiled an encyclical letter addressing the societal implications of artificial intelligence. The letter, titled Magnifica Humanitas, warned that the "use of AI is never a purely technical matter: when it enters processes that affect people's lives, it touches on rights, opportunities, status and freedom." Alongside him was Anthropic cofounder and interpretability team lead Christopher Olah, representing a partnership between the Catholic Church and one of the biggest players in AI. The letter elicited a wide range of reactions from in and around the tech industry. Nearly everyone believed the document would be infl … Read the full story at The Verge.
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it's funding news, but it's good news.

Government agencies have begun imposing restrictions on individuals involved in advanced AI work and considered strategically important to the country.
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Robinhood is opening its trading platform to AI agents. In an announcement on Wednesday, Robinhood says traders can now create a separate account for an AI agent and add a specific amount of money, allowing the agent to buy and sell stocks across the market. The company pitches the feature as a way for traders to automate investment decisions, such as having an agent monitor specific industries and make trades, or rebalancing an existing portfolio. But it comes with a big warning from Robinhood: Agentic trading involves significant risk, including the possible loss of your entire investment. AI-driven strategies may perform poorly under c … Read the full story at The Verge.
I am not a developer ,been using AI tools casually for a while but never actually built anything with them. For months I kept seeing "automation" and "AI agents" thrown around in job descriptions and had no idea what it actually meant in practice. Watched a few YouTube videos, got confused, moved on. Finally sat down with n8n properly through a structured program I was doing. First attempt took most of a Sunday. Broke twice. Third time it actually ran on its own without me doing anything manually. What it does is pretty basic honestly. Pulls data from one place, summarizes it, drops the output somewhere useful. Nothing that would impress an engineer. But it runs every day without me touching it and that's the part I couldn't quite believe the first time it worked. The thing nobody told me is that automation isn't really a technical skill. It's a process thinking skill. You're just mapping out what happens in what order and telling a tool to do it. If you can describe a workflow on
Sadly the open models seem far behind. submitted by /u/DeltaSqueezer [link] [comments]

The fulfillment provider is betting a unified tech stack and a new AI robotics lab can give independent brands a fighting chance against e-commerce giants.

Robinhood will let users create a separate account with pre-loaded balance that an agent use to trade

Elon Musk Loses $150 Billion Suit Against OpenAI and Sam Altman, Google updates its Gemini app to take on ChatGPT and Claude at IO 2026, and more!
The problem with every AI product right now is that they're all wrappers. Same stateless LLM, different UI. The moment the context window closes, the AI forgets you existed. I built the infrastructure layer that fixes that. PHI // DRIFT gives an AI companion persistent state — seven internal need variables that drift between sessions, memory scored by what emotionally mattered not just what was semantically close, and a real-time telemetry dashboard showing the AI's internal state as it runs. This isn't a product yet. It's a published architecture with a research paper, 18k+ lines of working code, and 10 GitHub stars in the first 24 hours with zero marketing spend. The SaaS opportunity is clear: — Every company building AI companions needs this infrastructure layer — Enterprise AI that actually remembers context across sessions commands premium pricing — Security tooling that maintains reasoning state across bug bounty sessions is immediately monetizable I built this in 5 months o
I always had this problem. Every time I started a new session with an AI agent I had to explain everything from scratch. What I'm working on. What I already know. What I learned last week. It was exhausting and half the time I just gave up re-explaining and got a generic answer. And all the stuff I actually learned across sessions? Just gone. Buried somewhere in hundreds of chats I'll never find again. So I built something to fix that. It's an Obsidian vault designed from the ground up to work as an agent workspace. You drop a `CLAUDE.md` in the root and every AI tool — Claude Code, Hermes, Codex, whatever you use — reads it at startup and immediately knows who you are, what you're working on, and where to put new notes. No more re-explaining. No more lost sessions. Every agent has its own personality file. After every session it writes a summary and creates notes automatically. The vault grows with you. Would love to hear if anyone else has been dealing with the same problem — or

Figure AI has signed a commercial agreement with Catalyst Brands to deploy humanoid robots across the retailer’s distribution and logistics network. The partnership will begin at Catalyst Brands’ distribution center in Reno, Nevada, where Figure’s humanoid robots will be used to automate physically demanding supply chain tasks. Catalyst Brands operates several well-known retail chains, including […]

Rotaku has opened reservations for Domo, a compact humanoid robot platform designed for developers, makers, educators and robotics teams working with real humanoid hardware. The Domo lineup starts at $2,999 and is intended to make humanoid robot development more accessible to users working on motion control, teleoperation, manipulation, robot interaction and embodied AI. Founder vision: […]

The data processing agreement (DPA) — the bedrock contract companies use to evaluate how vendors handle personal data — can no longer be trusted at face value. That is the central, and arguably most alarming, conclusion of DataGrail's Privacy and AI Trends Report 2026, released today. The San Francisco-based privacy platform analyzed 2,400 popular business software providers and found that 63.6% of vendors that prominently advertise AI capabilities do not disclose a third-party AI subprocessor in their legal documentation. The implication: the majority of companies purchasing AI-enabled software may be unknowingly exposing their customers' data to AI models and pipelines they never reviewed, never approved, and may not even know exist. "All software vendors are trying to move to become AI vendors, which makes sense, but the technologies are moving faster than AI governance can actually keep up," DataGrail co-founder and CEO Daniel Barber told VentureBeat in an exclusive interview ahead