AI News

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24 Jun 20269 Muharram 1448 AH

Facebook rolls out an AI companion app for creators

Facebook has announced a new app currently being tested with a select group of creators. The app aims to enhance user experience by integrating the AI assistant recently launched by the company. This assistant is expected to provide innovative tools to help creators improve their content and increase audience engagement. The new app arrives amid growing competition among social media platforms to offer advanced features to users. The integration of AI reflects modern trends in leveraging technology to boost productivity. This assistant allows creators access to sophisticated tools that aid in producing engaging content.

Business

24 Jun 20269 Muharram 1448 AH

$Snowflake CEO finds GLM-5.2 competitive with Opus 4.7 at a fraction of the cost$

Snowflake CEO finds GLM-5.2 competitive with Opus 4.7 at a fraction of the cost

Recent results indicate that Zhipu AI's GLM-5.2 closely matches Claude Opus 4.7 in a Snowflake benchmark involving 103 coding tasks. Despite GLM-5.2 consuming nearly twice the tokens per task, its cost per output token is one-fifth that of Opus 4.7, creating significant pressure on companies like Anthropic and OpenAI. This pricing disparity could impact the valuations of Western AI labs, making the market more competitive and strengthening Zhipu AI's position in the global landscape.

Business

24 Jun 20269 Muharram 1448 AH

MoEngage acquires Aampe to bring agentic decisioning to B2C marketing teams

MoEngage, a leading customer data platform, has announced its acquisition of Aampe, an AI infrastructure company. This acquisition aims to enhance how brands engage with customers, advancing AI-led customer experience strategies. Trusted by over 1,350 global brands, MoEngage is set to integrate Aampe's reinforcement learning engine, enabling true one-to-one decision-making. This shift allows brands to move beyond traditional audience segmentation towards personalized interactions.

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Figma adds code layers, support for animations, more AI features in new update

How might Figma's new features impact design workflows?

Agents

Figma now has AI motion graphics and shader tools

24 Jun 20269 Muharram 1448 AH

Agents

24 Jun 20269 Muharram 1448 AH

Figma now has AI motion graphics and shader tools

Figma unveiled new updates at the Config conference aimed at empowering creators to advance their ideas. These updates include a reimagined design board optimized for full software development, integrating teams, AI agents, and tools in one place. Among the new features are programming layers that allow users to modify their project code without leaving the Figma design board. AI-generated animation effects were also introduced, enabling users to create transition effects simply by describing them in Figma's chat interface.

Models

Talos: Scaling rare disease diagnosis with automated, iterative genomic reanalysis

24 Jun 20269 Muharram 1448 AH

Models

24 Jun 20269 Muharram 1448 AH

Talos: Scaling rare disease diagnosis with automated, iterative genomic reanalysis

Talos is an open-source tool designed for the automated reanalysis of genomic data in rare diseases. It efficiently reexamines stored sequencing data as scientific knowledge evolves, achieving a 90% recovery rate of diagnoses with only 1.3 candidate variants flagged per patient for expert review. Deployed across a cohort of nearly 5,000 undiagnosed patients, Talos yielded 241 new diagnoses, representing a 5.1% increase in diagnostic yield. The average time from new evidence to diagnosis was just 32 days, demonstrating the tool's efficiency in systematic reanalysis.

Models

OpenAI and Broadcom unveil "Jalapeño," a custom chip built for LLM inference

24 Jun 20269 Muharram 1448 AH

Models

24 Jun 20269 Muharram 1448 AH

OpenAI and Broadcom unveil "Jalapeño," a custom chip built for LLM inference

OpenAI has announced the development of a new custom chip named "Jalapeño" in partnership with Broadcom, aimed at enhancing large language model performance. The chip is expected to be operational at scale by late 2026, showcasing OpenAI's commitment to advancing its technological capabilities. The "Jalapeño" chip focuses on improving inference efficiency for language models, enabling faster processing and overall performance enhancement. This development comes at a time when demand for AI technologies is rising, making infrastructure improvements essential.

Business

OpenAI's deployment chief on Codex growth, falling AI prices, and the ROI question

24 Jun 20269 Muharram 1448 AH

Business

24 Jun 20269 Muharram 1448 AH

OpenAI's deployment chief on Codex growth, falling AI prices, and the ROI question

Arnaud Fournier, OpenAI's deployment chief, discussed DeployCo's aim to embed AI within large corporations using its engineers. He highlighted the explosive growth of Codex, noting significant increases in usage. Fournier also emphasized the impact of customer feedback on model development. He explained that the sharp decline in AI prices reflects technological advancements and innovations in the field. Companies investing in AI can achieve substantial returns on investment, making it an attractive option. Listening to customer needs is crucial for improving models.

Business

Qualcomm Buys Buzzy Chip Startup Modular for Nearly $4 Billion

24 Jun 20269 Muharram 1448 AH

Business

24 Jun 20269 Muharram 1448 AH

Qualcomm Buys Buzzy Chip Startup Modular for Nearly $4 Billion

Modular, a promising software startup, is poised for a multi-billion dollar exit. Founded to develop innovative software solutions that support artificial intelligence technologies, the company has achieved notable success in the market. As a leader in software tailored for chips, Modular focuses on enhancing AI performance through advanced technologies. With the increasing demand for AI solutions, the company is gaining a prominent position in this sector.

Infrastructure

The emergence of the web data infrastructure layer for AI

24 Jun 20269 Muharram 1448 AH

Infrastructure

24 Jun 20269 Muharram 1448 AH

The emergence of the web data infrastructure layer for AI

AI technologies are experiencing significant growth, with daily increases in use cases. However, organizations face major challenges due to blocked or unstructured information, limiting the application of AI models. Overcoming these barriers necessitates the design of a new web infrastructure that enables models to discover and identify data in this expanding digital landscape. Reliable and up-to-date data is essential for AI performance, which increasingly relies on computing capabilities, networks, and data retrieval. Companies must secure a continuous flow of new information to keep pace with the dynamic changes in web data.