"2026 will Be the Year of Agents,” Said the Developer Who Created Open Claw

Peter Steinberger, the Austrian programmer who created OpenClaw [in the picture], said, “2026 will be the year of agents.” "2023-2024 was the year of ChatGPT; last year was the year of the coding agent, this year's going to be the year of the general agent," he explained. Jensen Huang, CEO at Nvidia, last month hailed the tool—whose symbol is a bright red lobster—as "the next ChatGPT." However, the buzz has raised concerns about the cybersecurity risks of allowing AI systems, which are vulnerable to hacking, to access personal data such as bank details. Steinberger built OpenClaw in November while playing around with AI coding tools to organize his digital life. He has since been hired by OpenAI “to drive the next generation of personal agents," Sam Altman said in February. “The next AI innovation could come from someone who just wants to have fun," Steinberger said.

"OpenAI Is Deploying a Technology that Manipulates Users at No Cost," Writes a Former Researcher in the NYT

WordPress.com Introduced AI Agents that Can Create, Edit, and Manage Content

Anthropic Announced 'Claude Managed Agents', a Tool to Automate Work Tasks

Google Introduced 'Gemma 4', an Advanced Open-Source AI Model

Google introduced an advanced open-source model, Gemma 4, under a commercially permissive Apache 2.0 license. This model has been built for advanced reasoning and agentic workflows, according to the company. Gemma 4 was released in four sizes: Effective 2B (E2B), Effective 4B (E4B), 26B Mixture of Experts (MoE), and 31B Dense. The 31B model currently ranks #3 among open models on the industry-standard Arena AI text leaderboard, and the 26B model is securing the #6 spot. Gemma 4 models specifically can run on Android devices and laptop GPUs. Agentic workflows feature native support for function calling, structured JSON output, and system instructions. It enables the building of autonomous agents that can interact with various tools and APIs and execute workflows reliably. Gemma 4 supports high-quality offline code generation, turning the user’s workstation into a local-first AI code assistant. The models natively process video and images, support variable resolutions, and excel at visual tasks such as OCR and chart understanding. Additionally, the E2B and E4B models feature native audio input for speech recognition and understanding. Gemma 4 presents a longer context. The edge models feature a 128K context window, while the larger models offer up to 256K, allowing users to pass repositories or long documents in a single prompt. According to Google, these multimodal models run completely offline with near-zero latency across edge devices like phones, Raspberry Pi, NVIDIA, and Jetson Orin Nano. Android developers can now prototype agentic flows in the AICore Developer Preview for forward compatibility with Gemini Nano 4. Google is offering Gemma 4 in Google AI Studio (31B and 26B MoE) or in Google AI Edge Gallery (E4B and E2B). First-generation Gemma models have registered over 400 million downloads, generating a Gemmaverse of more than 100,000 variants.

Anthropic Banned Subscription OAuth Tokens Across OpenClaw and Third-Party Agent Tools

Anthropic banned, this month, the use of subscription OAuth tokens across OpenClaw, Hermes, and other third-party agent tools. Also, using OpenClaw with Claude AI will be more expensive, due to Anthropic’s new policy changes. A newly published Legal and Compliance page on the Claude Code docs spelled it out: “Using OAuth tokens obtained through Claude Free, Pro, or Max accounts in any other product, tool, or service — including the Agent SDK — is not permitted and constitutes a violation of the Consumer Terms of Service.” Additionally, an email sent by Anthropic’s Claude on Friday evening noted that, starting April 4th, users wouldn’t be able to use their Claude subscription limits and would need to use a “pay-as-you-go option” billed separately. With OpenClaw creator Peter Steinberger now employed by OpenAI, Anthropic is encouraging subscribers to use more of its own tools, like Claude Cowork. Alternatives to Claude plans included models with their own subscriptions, open-source LLMs that can be run locally, such as GLM 5, and other models, such as Minimax 2.7, KiloCode, and OpenAI’s Codex. OpenClaw v2026.4.5 just dropped 🦞 This one is packed. Agents can now generate video and music.New providers everywhere.Control UI now speaks multiple languages.Memory got smarter.Plus a lot of cleanup and polish. Here’s what actually matters ↓ 1. Video and music… https://t.co/yx7lqcMcBk — Luke The Dev (@iamlukethedev) April 6, 2026

Coding Is Being Automated by AI: Silicon Valley Got Hit First

Cisco Launched 'DefenseClaw' Open-Source Security Tools for OpenClaw

Anthropic Announced the Frontier Model "Claude Mythos Preview" to Secure Most Critical Software

The Stockholm-Based Lovable Reaches a Valuation of $6.6 Billion

The Stockholm-based, three-year-old company Lovable crossed the $400 million annual revenue mark in February, with only 146 full-time employees. In less than one year, it became a unicorn, and now its valuation is $6.6 billion. According to its CEO, Anton Osika, over half of Fortune 500 companies are using Lovable to “supercharge creativity.” The company offers a range of security-related features to persuade businesses to use it for more than just prototyping. This vibe-coding start-up, alongside Cursor, Replit, Mercor, and others, allows users to create websites and apps with prompts. Research firm Gartner predicts that a new wave of unicorns will emerge by 2030 with $2 million ARR per employee. At $2.77 million in ARR per employee, Lovable has already surpassed that number. Lovable’s most recent user spike was tied to a specific promotion — Lovable’s SheBuilds initiative for International Women’s Day on March 8, when the whole platform was free for one day. This week, Lovable launched a brand campaign, “Earworm,” on social platforms, YouTube, and connected TV. The film follows a woman who can’t rid herself of a song — performed by Swedish band Boko Yout — until she finally opens Lovable and builds it into a working app.

Companies Start Tracking Their Workers’ AI Token Usage

Companies that regularly use AI have begun tracking their workers’ token use, a new unit of measurement. AI output has turbocharged productivity, changing the nature of work, and the number of tokens burned is the new hot metric. Companies like ibl.ai, the parent house of the iblnews service, have launched a token counter. Every prompt generates computing resources, measured in tokens. For example, generating 750 words takes about 1,000 tokens. It gets more complicated when writing code, creating video and audio, or enlisting agents to perform elaborate, days-long tasks. Another example: Anthropic’s Claude Code to develop around 300,000 lines of code can cost $2,000 in tokens. The more work done, the more tokens are used. Token pricing has gone down, but costs can be higher for some newer sought-after models. Especially given the fact that most businesses are trying to get their employees to use AI. Sometimes, companies opt for pay-as-you-go plans or buy enterprise plans with a set amount of use per worker. “Companies need to start measuring token use,” said Brian Jabarian, a researcher with the University of Chicago’s Booth School of Business who studies how new technologies reshape workplaces. Some tech startups have even started monitoring token use on a per-engineer basis. • Explaining Tokens — the Language and Currency of AI  

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