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Job Title	Status	Pay
Full-Stack Engineer	Strong match, Full-time	$150K - $220K / year
Developer Experience and Productivity Engineer	Pre-qualified, Full-time	$160K - $300K / year
Software Engineer - Tooling & AI Workflows (Contract)	Contract	$90 / hour
DevOps Engineer (India)	Full-time	$20K - $50K / year
Senior Full-Stack Engineer	Full-time	$2.8K - $4K / week
Enterprise IT & Cloud Domain Expert - India	Contract	$20 - $30 / hour
Senior Software Engineer	Contract	$100 - $200 / hour
Senior Software Engineer	Pre-qualified, Full-time	$150K - $300K / year
Senior Full-Stack Engineer: Latin America	Full-time	$1.6K - $2.1K / week
Software Engineering Expert	Contract	$50 - $150 / hour
Generalist Video Annotators	Contract	$45 / hour
Generalist Writing Expert	Contract	$45 / hour
Editors, Fact Checkers, & Data Quality Reviewers	Contract	$50 - $60 / hour
Multilingual Expert	Contract	$54 / hour
Mathematics Expert (PhD)	Contract	$60 - $80 / hour
Software Engineer - India	Contract	$20 - $45 / hour
Physics Expert (PhD)	Contract	$60 - $80 / hour
Finance Expert	Contract	$150 / hour
Designers	Contract	$50 - $70 / hour
Chemistry Expert (PhD)	Contract	$60 - $80 / hour

Full Audio at

This episode of AI Unraveled is made possible by AIRIA:

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🚀 Welcome to AI Unraveled (February 11th, 2026): Your strategic briefing on the business, technology, and policy reshaping artificial intelligence.

Today, we cover ByteDance’s new AI video model Seedance 2.0, which is going viral for its cinematic quality and synced audio. We also break down the OpenClaw (MoltBot) security controversy, Apple’s confirmed entry into AI hardware, and a Harvard study that finds AI is actually increasing employee workloads.

Strategic Pillars & Key Topics:

🎥 Generative AI Video

• Seedance 2.0: ByteDance’s new model stuns with 2K resolution, 15-second clips, and native audio. It’s surpassing rivals like Kling 3.0 and moving the frontier of AI video.

• Waymo World Model: Waymo uses Google’s Genie 3 to simulate rare driving scenarios (like tornadoes) to train its self-driving fleet.

🛡️ Security & Open Source

• The OpenClaw Paradox: The viral open-source agent (MoltBot) has racked up massive security incidents. While vendors panic, defenders say it’s exposing flaws that proprietary tools hide.

• Claude Desktop Exploit: A zero-click vulnerability in Claude Desktop extensions could expose over 10,000 users via a malicious calendar invite.

🍎 Hardware & Big Tech

• Apple’s AI Devices: Tim Cook confirms Apple is entering the AI hardware race. Rumors point to smart glasses or AI earbuds (potentially with cameras) developed with OpenAI and Jony Ive.

• OpenAI Hardware Delayed: The Jony Ive-designed device (codenamed “Dime”) is pushed to 2027 due to a trademark lawsuit from startup iyO.

📉 Business & Policy

• Harvard Workload Study: A new study finds AI tools increased employee workloads, leading to broader roles and blurred work-life boundaries.

• OpenAI Ads: OpenAI begins testing ads in the free/Go tiers of ChatGPT, sparking a feud with Anthropic.

• Digital Casinos: Meta and Google face a trial in LA over whether their apps are designed to be addictive “digital casinos” for children.

💰 Deals & Funding

• Alphabet’s 100-Year Bond: Google’s parent company sells a rare century bond to fund its massive AI investments.

• Anthropic Funding: Reports suggest Anthropic is raising a $20B+ round at a $350B valuation.

  Smartphone 101 - Pick a smartphone for me - android or iOS - Apple iPhone or Samsung Galaxy or Huawei or Xaomi or Google Pixel
  

Credits: This podcast is created and produced by Etienne Noumen, Senior Software Engineer and passionate Soccer dad from Canada.

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ByteDance’s Seedance 2.0 stuns the AI video world

Image source: RioAIGC on Douyin

Chinese AI giant ByteDance is going viral across social media with Seedance 2.0, a new model in beta with upgraded cinematic shots, consistency, and synced audio that looks to surpass current top available systems.

The details:

• The model can reportedly handle text, image, audio, and video inputs, with tests showing impressive outputs across a range of styles and use cases.

• The system also features native audio generation, 2K resolution, and 15s outputs, currently only available via ByteDance’s Jimeng AI video platform.

• ByteDance also appears to have released Seedream 5.0 image model in preview on some third-party apps — marking its answer to Nano Banana Pro.

  
  
  

• The model comes just days after the launch of rival Kuaishou’s Kling 3.0, with Chinese models seemingly moving near the frontier of the video sector.

Why it matters: China’s top labs are putting out some seriously powerful new video models, and Seedance 2.0 looks next in line for the next leap. With strong examples like smooth fight scenes, animation, UGC content, and motion graphics, Seedance 2.0 may have Veo-like implications for a much broader range of creative disruption.

Harvard finds AI tools expand workloads

A new Harvard Business Review research found that AI tools at a U.S. tech company didn’t lighten employee workloads over 8 months, but actually grew them, with workers taking on broader tasks, logging more hours, and multitasking more.

The details:

• The study tracked ~200 employees who adopted AI on their own, observing work habits and conducting 40+ in-depth interviews over eight months.

• Workers utilizing AI expanded well beyond their roles, with the tech making unfamiliar work feel doable.

• The study also noted AI blurring lines between work and rest, with employees firing off prompts after hours or during breaks.

• Engineers also reported spending more time reviewing and coaching colleagues on AI-assisted code, with “vibe-coding” help requests piling up.

Why it matters: AI was supposed to free workers up, not quietly pile more on their plates — but that’s exactly what Harvard found happening. The tech’s productivity gains are real, but so is the tradeoff of broader roles, blurred boundaries, and a new work pace that is changing more quickly than many employees are likely ready for.

OpenAI starts testing ads in ChatGPT

• OpenAI has begun testing ads inside ChatGPT for users on the free and Go tiers, with the company saying ads will be clearly marked and visually separated from the chatbot’s answers.

• The ads will be personalized based on conversation topics, prior chats, and previous ad interactions, though users can opt out of personalized ads and no ads will appear for users under 18.

• Rival Anthropic has publicly rejected ads in its Claude chatbot, calling them incompatible with a helpful assistant, while OpenAI CEO Sam Altman labeled Anthropic’s messaging “clearly dishonest” and framed ads as supporting free access.

Waymo taps Genie 3 to train self-driving cars

Waymo just introduced the Waymo World Model, a driving simulator built on DeepMind’s Genie 3 that generates hyper-realistic scenarios the company’s fleet of self-driving cars has never encountered to help it deal with extreme edge cases.

The details:

• The model takes Genie 3’s visual knowledge and converts it into paired camera and lidar outputs, helping dream up scenarios its cars have never actually seen.

• Engineers can reshape scenes with text prompts, driving inputs, or layout edits (like changing weather or adding obstacles) to test “what if” responses.

• Waymo found a workaround for Genie 3’s short memory by running footage at 4x speed, stretching simulations long enough to cover longer driving tasks.

Why it matters: Google’s Street View data gave Waymo a head start in mapping the real world for its cars, but world models can now generate the extreme edge cases that no amount of road miles can produce. Waymo’s use of Genie is a prime example of one of the top use cases for world models — simulations for robotics training data.

Apple AirPods may get built-in cameras

• Apple is rumored to be working on new AirPods with built-in cameras, a long-standing idea now backed by multiple leakers including Mark Gurman and analyst Ming-Chi Kuo, possibly arriving this year.

• Speculation about the cameras centers on three possibilities: internal infrared sensors for health data like heart-rate readings, visual Apple Intelligence features, or recognizing hand gestures similar to Vision Pro.

• Hand gestures could replace the current mix of taps and head gestures for controlling AirPods, which the article describes as clunky and error-prone because one tap handles many functions.

Meta and Google built ‘digital casinos’

• Meta and Google are now facing a first-of-its-kind trial in Los Angeles, where a jury will decide whether their social media platforms were designed to be addictive and harmful to children.

• The plaintiff’s lawyer called Instagram and YouTube “digital casinos,” arguing features like endless swiping work like slot machine handles, while Meta’s lawyers blamed the plaintiff’s mental health struggles on home conditions.

• This bellwether trial represents roughly 1,200 similar lawsuits and avoids Section 230 protections by focusing on app-design flaws rather than user-generated content, with Meta CEO Mark Zuckerberg set to testify.

Alphabet selling very rare 100-year bonds to help fund AI investment

• Alphabet is selling a very rare 100-year bond in British pounds as part of a broader borrowing push to help fund the massive AI investments that Big Tech companies are making.

• The company also sold $20 billion in dollar bonds on Monday, upsized from $15 billion due to strong demand, and is lining up a Swiss franc bond sale as well.

• Century bonds are highly unusual in the tech sector, but a banker said issuing in the sterling market is more cost-effective than in dollars, where the interest rate is higher.

Amazon plans AI content marketplace for publishers

• Amazon is building a new marketplace where publishers can sell their content to companies developing AI systems, with AWS acting as a middleman between media organizations and AI developers.

• The project moves Amazon away from individual content deals, like its reported $20 million yearly Alexa agreement, toward a standard system that lets business customers access quality content at scale.

• Microsoft announced a similar Publisher Content Marketplace last week, and both companies are now racing to become the main platform where journalism gets licensed for AI training and products.

OpenAI delays Jony Ive AI device to 2027

• OpenAI’s AI hardware device, designed by former Apple design chief Jony Ive and originally expected before the end of 2026, has been pushed back to at least the end of February 2027.

• The delay follows a trademark infringement lawsuit from Google-backed earpiece startup iyO, and OpenAI has now confirmed it won’t use the name “io” for any AI hardware products.

• The screenless, pocket-sized device is reportedly code-named “Dime” or “Sweetpea,” and OpenAI has not yet created any packaging or marketing materials for it, according to court filings.

xAI co-founder departs:

Just a week after SpaceX’s high profile acquisition of xAI, co-founder Tony Wu announced his departure from the Grok makers. On X (where else?), Wu alluded vaguely to his “next chapter” and noted that he’s excited about building at a time when “a small team armed with AIs can move mountains and redefine what’s possible.” Musk launched xAI in 2023 with an initial team of 11 collaborators, but their ranks have been dwindling of late. Igor Babuschkin, Kyle Kosic and Christian Szegedy previously departed, and Greg Yang announced earlier this year that he plans to step back and focus on his health.

Big tech still believe LLM will lead to AGI?

With all the massive spending from big tech on GPUs and data centres, the goal is to train and deploy LLMs?

Haven’t we already plateaued in terms of LLM improvement? Will all these new infrastructures make any improvements?

https://arxiv.org/pdf/2601.23045

10K Claude Desktop Users Exposed by Zero-Click Exploit

A flaw in Anthropic’s Claude Desktop Extensions allows a single malicious calendar invite to trigger zero-click system compromise, potentially exposing over 10,000 users.

10 AI Agent Platforms Every Business Leader Needs To Know

Source: https://www.linkedin.com/pulse/10-ai-agent-platforms-every-business-leader-needs-know-bernard-marr-4doye

Artificial intelligence has moved fast from curiosity to capability, and nowhere is that more visible than in the rise of AI agents. These systems can plan, decide, and act on our behalf, automating real work rather than simply responding to prompts.

The challenge for most organizations is no longer whether AI agents matter, but where to begin. Over the past year, an explosion of platforms has promised to help businesses build, deploy, and manage agentic systems, ranging from beginner-friendly tools to powerful enterprise frameworks.

Let’s break down some of the most practical and influential platforms available today and show how they can help organizations take their first meaningful steps toward an AI-powered workforce.

Google Vertex And Astra

A great place to start is with the big cloud providers like Google. Its agentic ecosystem is built around the Vertex AI platform, which aims to provide a beginner-friendly environment for designing, building and deploying agents. A strength is its ability to search and process online data in real time, due to its integration with the Google web ecosystem. Astra is a prototype for a universal AI assistant that’s likely to become more ingrained in Google’s agentic toolset in the near future.

Microsoft Copilot Studio

Platforms offered by the cloud giants tend to focus on leveraging their existing strengths, and with Microsoft’s offering, that means deep integration with its Teams and 365 enterprise productivity ecosystems. If you’re looking to build agents for relatively generic use cases involving automating workflows that you already carry out on these widely used platforms, it might be the obvious choice.

Amazon Bedrock AgentCore

Amazon AWS is the world’s most popular cloud provider, and now it lets users unleash agents across its whole suite of features and services. As you’d expect, this means a strong focus on security, always a critical element of any cloud deployment. If your organization is heavily invested in the AWS ecosystem, then it’s a natural starting point for beginner-level agent deployments, thanks to the ease of configuring and managing access to AWS resources.

OpenAI AgentKit

OpenAI, creator of ChatGPT, lets users configure, build, and manage AI agents through its custom GPTs and AgentKit platform. AgentKit provides a comprehensive framework for defining agentic workflows and managing access to third-party datasets and tools. All of this is done through a super user-friendly visual “drag and drop” interface. Another useful feature is Guardrails, a modular safety layer that safeguards against dangerous or unintended behavior.

Salesforce Agentforce

Salesforce is commonly used to manage business customer relationships, and its Agentforce platform is built to automate many of the processes that this involves. This could include sales, marketing and customer service workflows. However, it goes further, capable of creating and managing agents for any tasks that involve calling APIs, connecting and controlling third-party systems and processing end-to-end workflows using external data.

UIPath Studio

UIPath started out as a platform for automating tasks programmatically but has now evolved into an ecosystem for developing and deploying agentic tools. This might be very useful for certain use cases that require the precision of more traditional robotic methods of process automation, combined with the ability to make decisions on the fly provided by AI. A feature that sets it apart is its ability to “see” content on-screen, making it a good option for automating legacy software that might not allow API access to agents directly.

HubSpot Breeze Agent

HubSpot’s Breeze agents are specialized tools for automating CRM tasks like marketing, sales and customer service. As they plug directly into the HubSpot platform, their workflows will already be familiar to many small and medium-sized businesses. They can create and automate campaigns, follow up leads, triage and troubleshoot customer service issues and handle many routine customer interactions. Potentially a great option for smaller organizations looking for “quick wins”.

Zapier Agents

Zapier started as a tool to connect different business and productivity apps through simple automated workflows. Adding agents to the mix means users can now coordinate the activity of thousands of SaaS tools and platforms that Zapier knows how to speak to. Simply describe the workflow you want to build using the Canvas Visual Studio and start chaining your existing apps together to create agentic processes.

QuickBooks AI Agents

Popular accounting package QuickBooks has now integrated its own agents for common routine and time-consuming tasks such as chasing invoice payments, reconciling accounts and preparing cash-flow forecasts. As QuickBooks customers will typically already have all of their financial data in the platform, this can often be a quick and easy win for smaller to medium-sized businesses looking to implement their first AI agent workflows.

Replit Agent 3

Replit is a “vibe coding” platform designed to simplify the process of creating anything from web pages to fully featured apps. Its agentic approach allows it to automate code generation, testing, debugging, refactoring and deployment, combining the functionality of a coding integrated development environment with an AI assistant. While it’s more technical than some of the more specialized tools covered here, the variety of projects it can be used for is virtually unlimited.

What This Means For Business Leaders

AI agents are quickly becoming a practical way to automate work, scale expertise, and unlock new levels of productivity across the organization. The platforms highlighted here show that getting started no longer requires deep technical skills, but it does require clarity on where agents can create the most value, along with a willingness to experiment, learn and iterate as this technology continues to mature.

What Else Happened in AI today?

Isomorphic Labs unveiled IsoDDE, a drug design engine that more than doubles AlphaFold 3 on benchmarks and can spot drug targets from a protein’s genetic code.

Alibaba’s Qwen team released Qwen-Image-2.0, a new unified image generation and editing model with upgraded text rendering, realism, and speed.

Anthropic safeguards research lead Mrinank Sharma resigned, writing in a farewell letter that the company “constantly faces pressures to set aside what matters most”.

OpenAI is reportedly dropping the “io” branding for its upcoming AI hardware device after a trademark lawsuit from audio startup iyO.

Runway raised $315M in Series E funding at a $5.3B valuation, with backing from Nvidia, Adobe, and AMD to pre-train its next generation of world simulation models.