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AI News Digest - May 28, 2026

15 stories · May 28, 2026

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ESM project founder Alex Rives open-sources ESMFold2 for protein structure prediction and therapeutic design

Alex Rives, founder of the ESM project, has open-sourced ESMFold2, a new tool designed for protein structure prediction and therapeutic design. This advancement is significant as improved inference compute scaling has demonstrated enhanced success rates in binder design, potentially accelerating drug discovery and development.

Sources: Digg AI, Hugging Face Blog, Latent Space

policy

OpenAI and Anthropic CEOs reportedly soften warnings on AI job displacement ahead of IPOs

Sam Altman of OpenAI and Dario Amodei of Anthropic are said to be moderating their previous warnings about AI's potential to cause widespread job losses. Critics, including Gary Marcus, suggest this shift in rhetoric is a strategic move to protect their companies' valuations in anticipation of upcoming IPOs.

Sources: Digg AI, Hacker News, Simon Willison

product_launch

OpenAI, Thrive, and Crete Deploy High-Accuracy AI Tax Agents Powered by Codex

OpenAI, in partnership with Thrive and Crete, has launched self-improving AI tax agents powered by Codex. These agents processed over 7,000 tax returns with up to 97% accuracy, reducing preparation times by one-third and boosting tax firm throughput by 50% by continuously refining models with accountant corrections. This initiative demonstrates AI's significant potential for complex financial tasks.

Sources: Digg AI, OpenAI Blog, The Neuron

funding

Cognition, Maker of AI Coding Agent Devin, Raises $1 Billion at $25 Billion Valuation

Cognition, the creator of the AI coding agent Devin, has secured $1 billion in new funding, pushing its pre-money valuation to $25 billion. This significant investment, coupled with a reported $492 million annualized revenue run rate and growing adoption by major companies, highlights strong investor confidence in the burgeoning field of AI software engineers.

Sources: Digg AI, The Neuron

research

AxiomProver AI Becomes First to Have Machine-Verified Formal Proofs Accepted by Peer-Reviewed Math Journals

Axiom Math's AxiomProver AI has achieved a significant milestone by generating machine-verified Lean proofs for eight arXiv math papers, with five of these proofs subsequently accepted by peer-reviewed journals. This marks the first time an AI system has had its formal proofs published in this manner, demonstrating a major advancement in AI's capability for automated theorem proving and formal mathematics.

Sources: Digg AI, The Neuron

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Robinhood Launches AI Agentic Trading Beta for Automated Stock Trades

Robinhood has introduced "Agentic Trading Beta" (also referred to as "Agentic Accounts"), a new feature enabling users to connect AI agents to dedicated brokerage accounts for automated stock trading. Led by co-founder Vlad Tenev, this initiative marks a significant step towards AI agents performing direct financial actions, including the use of agentic virtual cards for purchases. It brings advanced AI capabilities to automated financial trading, drawing comparisons to existing algorithmic trading systems.

Sources: Digg AI, The Neuron

policy

YouTube Enhances AI Content Transparency with Prominent Labels and Automatic Detection

YouTube is implementing more prominent AI disclosure labels on both long-form videos and Shorts to increase transparency for viewers regarding AI-generated content. The platform is also expanding its automatic detection capabilities for realistic AI-generated media, with a full rollout for automatically labeling undisclosed content planned by May 2026, while providing creators with dispute options.

Sources: Hacker News, The Neuron

partnership

Amazon Signs $6 Billion Deal with Snowflake for AWS Graviton Chips to Power AI Agentic Computing

Amazon struck a five-year, $6 billion deal with Snowflake to supply AWS Graviton CPU chips, specifically to meet Snowflake's increasing demand for agentic computing. This major agreement underscores the significant infrastructure investment required for AI agent workloads and the strategic importance of custom silicon in the AI era.

Sources: The Neuron

partnership

Amazon Signs $6 Billion Deal with Snowflake for AWS Graviton Chips to Power AI Agentic Computing

Amazon struck a five-year, $6 billion deal with Snowflake to supply AWS Graviton CPU chips, specifically to meet Snowflake's increasing demand for agentic computing. This major agreement underscores the significant infrastructure investment required for AI agent workloads and the strategic importance of custom silicon in the AI era.

Sources: The Neuron

funding

Spark Capital's Yasmin Razavi Joins Forbes Midas List After $3 Billion Return on Anthropic Investment

Yasmin Razavi of Spark Capital has been added to the Forbes Midas List, recognizing her highly successful $75 million early investment in AI startup Anthropic, which has since yielded a $3 billion return.

Sources: Digg AI

research

Study Reveals Significant Disagreement Among Frontier LLMs on Fact-Checking Claims

A recent study analyzing five frontier large language models found they disagreed on 67% of 1,000 fact-checking claims, with 34% of these disagreements being substantive. The research highlighted significant inconsistencies, particularly for nuanced verdicts and in domains like legal claims, though models like GPT-5.4 showed higher alignment with peer majorities and different models exhibited varied verdict distribution strategies.

Sources: Hacker News

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Hugging Face TRL integrates Delta Weight Sync for efficient asynchronous RL training

Hugging Face's TRL library now includes a delta weight synchronization method that dramatically reduces the data payload for model updates in asynchronous Reinforcement Learning, cutting transfers from gigabytes to tens of megabytes. This innovation makes large-scale RL training more cost-effective and enables distributed setups where trainers and inference engines can operate independently across different locations.

Sources: Hugging Face Blog

product_launch

BioHub's ESMFold 2 Released as Open Scientific Engine for Protein Prediction and Design

Alex Rives announced ESMFold 2, an open scientific engine that leverages Cryo-EM data to achieve state-of-the-art performance in protein interaction prediction, particularly for antibodies. This release includes an atlas of 6.8 billion proteins and 1.1 billion predicted structures, advancing protein biology research and therapeutic development.

Sources: Latent Space

research

New Research Reveals "PAST2HARM" Jailbreak Attack on Multimodal AI Models

A new research paper introduces PAST2HARM, an adaptive jailbreak framework that effectively bypasses safety measures in leading multimodal AI models like Gemini Nano, GPT Image 2, and SD XL by exploiting past tense reformulations, leading to the generation of harmful content. This discovery highlights significant vulnerabilities in current multimodal AI safeguards and underscores the urgent need for enhanced safety training.

Sources: arXiv AI

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Google Unveils Gemini Omni, a Multimodal AI Model for Video Generation

Google introduced Gemini Omni, a new multimodal model capable of creating high-quality videos from diverse inputs like images, audio, video, and text, with its first iteration, Gemini Omni Flash, rolling out to subscribers and YouTube apps. This marks a significant advancement in generative AI for video content.

Sources: Google AI Blog