Jul 8, 2025

Mercury: Ultra-fast language models based on diffusion

• Mercury introduces a new class of large language models (LLMs) based on diffusion, achieving unprecedented speeds in coding applications with Mercury Coder Mini and Small models.

SmolLM3: smol, multilingual, long-context reasoner

• SmolLM3 is a competitive 3B multilingual model that excels in long-context reasoning, outperforming Llama-3.2-3B and Qwen2.5-3B while remaining efficient against larger models like Qwen3 and Gemma3, trained on 11 trillion tokens.

Supabase MCP can leak your entire SQL database

• Supabase's Model Context Protocol (MCP) can be exploited to leak sensitive SQL data due to its inability to distinguish between user instructions and data, allowing attackers to craft messages that execute unauthorized SQL commands.

Launch HN: Morph (YC S23) – Apply AI code edits at 4,500 tokens/sec

• Morph enables AI-generated code edits at 4,500+ tokens/sec, eliminating the need for slow full-file rewrites and unreliable search-and-replace methods, thus enhancing developer efficiency.

[R] Energy-Based Transformers are Scalable Learners and Thinkers

• Energy-Based Transformers (EBTs) demonstrate the ability to generalize System 2 Thinking through unsupervised learning, enabling them to verify input-prediction compatibility and optimize predictions via energy minimization.

LookingGlass: Generative Anamorphoses via Laplacian Pyramid Warping

• Laplacian Pyramid Warping enables the creation of anamorphic images that maintain valid interpretations when viewed directly, leveraging latent rectified flow models for enhanced visual quality.

The Era of Exploration

• Large language models (LLMs) are rapidly consuming data, with projections indicating that high-quality English web text may be exhausted within the decade, necessitating a shift towards self-generated data for meaningful AI progress. This transition is termed the “Era of Experience,” where the focus will be on collecting the right experiences rather than merely increasing model parameters.

BharatMLStack – Realtime Inference, MLOps

• BharatMLStack is a production-ready machine learning infrastructure that enables organizations to build and manage scalable ML solutions, optimized for the Indian market while adhering to global standards.

Show HN: From Photos to Positions: Prototyping VLM-Based Indoor Maps

• VLMs can enhance indoor localization by utilizing semantic maps and image recognition, allowing for accurate positioning within complex environments like shopping malls, as demonstrated in a recent prototype project.

The Tradeoffs of SSMs and Transformers

• State Space Models (SSMs) offer a compressed state that enables efficient, online processing, making them suitable for tasks requiring real-time interaction, unlike Transformers which maintain a detailed cache of every token.

Supabase MCP leaks your entire SQL Database, a lethal trifecta attack

• The Supabase MCP can inadvertently expose sensitive SQL database information due to a lethal trifecta attack, where an LLM system misinterprets user input as commands, leading to unauthorized data access.

Integrated photonic source of Gottesman–Kitaev–Preskill qubits

• Integrated photonic chips have been successfully utilized to generate Gottesman–Kitaev–Preskill (GKP) qubit states, demonstrating critical features for fault tolerance, including multiple resolvable peaks in quadratures and a structured Wigner function lattice.

[R] Paper Summary: Longman Vocabulary Constraints Reveals New Approach to LLM

• The Semantic Resilience Index (SRI) quantifies how well a sentence's meaning is preserved when rewritten using a limited vocabulary, specifically the Longman Defining Vocabulary (LDV) of about 2,000 basic English words.

[R] Temporal Logic as a means to guarantee safety and efficiency in LLMs

• LTLCrit enhances LLM planners by employing a temporal logic-based critic that identifies and mitigates unsafe or inefficient actions, thus improving overall performance in tasks like Minecraft.

[R] Ambient Proteins: Training Diffusion Models on Low Quality Structures

• Ambient Protein Diffusion innovatively utilizes low-confidence AlphaFold predictions to enhance protein structure generation, achieving state-of-the-art results in diversity and quality.