News

Lovable reportedly doubling valuation to $13.2B in new $300M round

Lovable is reportedly doubling its valuation to $13.2 billion with a $300 million raise led by Menlo Ventures, riding the hottest trend in AI: vibe coding. The article provides a useful snapshot of a market where startups like Replit and Cursor are seeing massive valuations, suggesting the category is consolidating fast but also testing the limits of investor faith in unproven business models.

Read MoreLovable reportedly doubling valuation to $13.2B in new $300M round

An off switch for dual use knowledge in AI models

Anthropic and AE Studio introduce GRAM, a method to surgically control dual-use knowledge in AI models by adding removable modules that encapsulate sensitive capabilities. This allows flexible access control—enabling or disabling specific knowledge domains without retraining separate models—potentially offering a more robust alternative to current safeguards like refusal training and data filtering.

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Google’s SynthID used to debunk Mitch McConnell deepfake hoax

The article exposes a real-world tension: AI-generated disinformation can spread rapidly about public figures, and verification tools remain inconsistent. A hoax image of Senator Mitch McConnell, depicted in a hospital bed with tubes, circulated widely on Reddit and X, fueling speculation about his health. The revered fact-checking site Snopes debunked it by detecting the invisible watermark from Google's SynthID system, marking a rare success for anti-deepfake technology.

Read MoreGoogle’s SynthID used to debunk Mitch McConnell deepfake hoax

Separating signal from noise in coding evaluations

OpenAI's audit of SWE-bench Pro reveals that roughly 30% of its tasks are broken due to overly strict tests, underspecified prompts, and other issues, leading the team to retract their earlier recommendation. The analysis used automated filtering, agent-assisted review, and human annotation to uncover these flaws, offering a sobering lesson in the difficulty of curating fair coding benchmarks for safety-critical evaluation.

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General Intuition thinks robotics is about to have its ChatGPT moment

Before foundation models, building specialized NLP models meant collecting and training on vast amounts of task-specific data. Now, most teams start with a general model like GPT or Llama and fine-tune it. Pim de Witte, CEO of General Intuition, argues embodied AI is about to follow the same trajectory. He believes the current approach of gathering enormous real-world datasets for each robot, environment, and embodiment is redundant.

Read MoreGeneral Intuition thinks robotics is about to have its ChatGPT moment

SpaceXAI launches Grok 4.5 as a cheaper Opus-class model

SpaceXAI's Grok 4.5 enters the model wars with aggressive pricing at $2/$6 per million tokens, claiming Opus-class capability with twice the token efficiency. This release directly challenges the growing cost concerns AI consumers face, making it a strong option for budget-conscious builders who still need competitive performance for routine coding and knowledge work.

Read MoreSpaceXAI launches Grok 4.5 as a cheaper Opus-class model