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Good morning. It’s Monday, April 6th.
Artificial General Intelligence: an AI that can understand, learn, and apply knowledge across any intellectual task at a human level (or beyond).
There have been many discussions about the exact definition of AGI, but the above is considered to be the most basic requirement. When AGI is crossed, will it be a “moment” or a look-back realization? Marc Andreessen (a16z founder and creator of Netscape) seems to think we’ve reached that point, and I agree.
The only reason we hesitate to call it AGI is that it still needs prompting in order to perform tasks, but autonomous agents are now perfectly capable of writing their own prompts and deciding what to do.
What do you think?
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Anthropic “unintentionally” cuts OpenClaw access for Claude subscribers
Anthropic is limiting how Claude subscriptions work with third-party AI tools like OpenClaw. Starting April 4, Pro and Max subscribers won’t be able to use their plans to power these agents and will have to switch to pay-as-you-go API billing or extra usage bundles. The move comes as agent-driven workflows, sending continuous requests with massive context windows, strain Anthropic’s infrastructure. Subscribers get one-time credits, but costs for heavy users will spike.
OpenClaw’s creator, Peter Steinberger, called it anti-competitive, even as he rolled out cache improvements to ease the transition. However, the creator of Claude Code Boris Cherney stated on X “This is not intentional, likely an overactive abuse classifier. Looking, and working on clarifying the policy going forward.” Claude also adds Microsoft 365 connectors, showing the push for more integrated workflows. Read more.
DeepMind’s AlphaEvolve lets AI rewrite its own game theory strategies
DeepMind’s AlphaEvolve lets AI rewrite its own multi-agent learning algorithms, producing CFR and PSRO variants like VAD-CFR and SHOR-PSRO. These new algorithms use adaptive discounting, asymmetric regret updates, and dynamic meta-strategy solvers to outclass human-designed strategies in games with hidden information, like poker.
Google’s Gemma 4 now hits the iPhone with on-device reasoning and image understanding at ~40k tokens per second. Read more.
OpenAI exec shuffle hits amid massive paper gains for investors
OpenAI is also shifting its leadership as health issues hit key executives. Fidji Simo, head of AGI Deployment, is on medical leave for a neuroimmune condition, with President Greg Brockman stepping in to oversee product and the super app roadmap. COO Brad Lightcap moves to lead special projects reporting to CEO Sam Altman, while Denise Dresser takes over most commercial duties. CMO Kate Rouch steps down for cancer recovery, supported by interim lead Gary Briggs, alongside CSO Jason Kwon and CFO Sarah Friar covering operational gaps.
A leaked cap table shows eye-popping paper gains: Microsoft’s $13 billion stake has jumped to $215 billion, Kutcher’s VC fund 43x, SoftBank 50%, and employees hold 16% equity, $135 billion, within a 20% ESOP, ahead of a potential $1 trillion IPO. Read more.
Pika launches beta video chat that lets AI agents act while talking
Pika Labs just rolled out a beta video chat skill for any AI agent, powered by their real-time PikaStream1.0 model. The feature adds voice and video to agent interactions while preserving memory and personality, letting agents adapt on the fly. When paired with a Pika AI Self, the agent can perform tasks during the call, effectively turning a standard chat into a fully interactive, agentic workflow. Read more.
Coreworks converts ERP, CRM, and spreadsheet exports into auditable, traceable reports and slide decks instantly.
ZooClaw routes tasks to specialized AI agents with domain expertise, delivering continuous execution without setup, APIs, or model management.
LLMnesia searches and retrieves AI chat history locally across assistants, keeping all data private and on-device.
Mercury Edit 2 predicts next code edits using context-aware diffusion LLMs, delivering low-latency suggestions with high acceptance rates.
OpenRouter Model Fusion runs prompts across multiple models and fuses outputs using a judge model for optimal responses.
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