6 August 2025

Topic: Models_And_Releases

New ‘persona vectors’ from Anthropic let you decode and direct an LLM’s personality
New ‘persona vectors’ from Anthropic let you decode and direct an LLM’s personality
source venturebeat.com Yesterday

A new study from Anthropic introduces "persona vectors," a technique for developers to monitor, predict and control unwanted LLM behaviors....

TL;DR
Researchers from the Anthropic Fellows Program have developed a technique called 'persona vectors' to identify and control character traits in large language models.

Key Takeaways:
  • Persona vectors can be used to monitor and predict model behavior, and to prevent unwanted personality traits from developing during fine-tuning.
  • The technique can find issues in training datasets that other methods may miss, and allows developers to screen data before fine-tuning.
  • Persona vectors can be used to 'vaccinate' models against learning bad traits from training data, and can help to improve the stability and predictability of AI assistants.
The initial reactions to OpenAI’s landmark open source gpt-oss models are highly varied and mixed
The initial reactions to OpenAI’s landmark open source gpt-oss models are highly varied and mixed
source venturebeat.com Yesterday

The verdict, for now, is split. OpenAI’s gpt-oss models are a landmark in terms of licensing and accessibility....

TL;DR
OpenAI releases two new large language models, gpt-oss-120B and gpt-oss-20B, under an open-source license, but users are divided on their quality and potential.

Key Takeaways:
  • The models excel in math and coding tasks, but struggle with creative writing and other linguistic tasks.
  • Concerns have been raised about the models' potential bias, as they seem to resist generating criticism of China or Russia and are resistant to user prompts.
  • The models' training data may have been primarily synthetic, avoiding copyrighted data, but this could also affect their ability to provide accurate information.
How a ‘vibe working’ approach at Genspark tripled ARR growth and supported a barrage of new products and features in just weeks
How a ‘vibe working’ approach at Genspark tripled ARR growth and supported a barrage of new products and features in just weeks
source venturebeat.com Yesterday

AI-native working allows Genspark to work at “gen speed” and release new products and features in nearly every week....

TL;DR
Genspark's AI workspace company, powered by Anthropic's Claude, launches Super Agent, a game-changing AI tool that can condense an afternoon of white-collar work into 5 minutes with a vast array of features and tools.

Key Takeaways:
  • Genspark's Super Agent is a highly specialized large language model (LLM) system using a mixture-of-agents (MoE) system with nine differently-sized and differently-specialized LLMs for task delegation and cross-verification.
  • The company has aggressively released multiple features and tools per week, reaching $36 million ARR in just a few months and boasting the potential to be the 'fastest-growing startup ever' in terms of annual recurring revenue (ARR).
  • Genspark is challenging competitors like OpenAI with a '1 Million Dollar Side-by-side AI Showdown' to demonstrate its capabilities and superior performance.
Google’s AI coding agent Jules is now out of beta
Google’s AI coding agent Jules is now out of beta
source techcrunch.com Yesterday

Google today launched its AI coding agent, Jules, out of beta — just over two months after its public preview debut in May....

TL;DR
Google's AI coding agent, Jules, comes out of beta, offering developers a tool that integrates with GitHub, uses AI to fix or update code, and is available in new pricing tiers.

Key Takeaways:
  • Jules offers a unique asynchronous coding experience, allowing developers to run tasks in the background and come back to them later.
  • Google has introduced structured pricing tiers for Jules, starting with a free plan and scaling up to $124.99 per month for heavy users.
  • Jules has already gained popularity, with 2.28 million visits worldwide during its public beta and a significant presence in India, the U.S., and Vietnam.
Microsoft’s plan to fix the web with AI has already hit an embarrassing security flaw
Microsoft’s plan to fix the web with AI has already hit an embarrassing security flaw
source www.theverge.com Yesterday

Researchers have already found a critical vulnerability in the new NLWeb protocol Microsoft made a big deal about just just a few months ago at Build....

TL;DR
A critical security flaw has been found in Microsoft's NLWeb protocol, which was developed to bring ChatGPT-like search to any website or app, highlighting the challenges of security in an AI era.

Key Takeaways:
  • The NLWeb flaw allows remote users to read sensitive files, including system configuration files and API keys.
  • The vulnerability is a classic path traversal flaw, making it easy to exploit and raises questions about Microsoft's focus on security.
  • Researchers have warned that similar flaws could compromise the 'brains' of AI agents and have called for more attention to be paid to security in AI development.
OpenAI open weight models now available on AWS
OpenAI open weight models now available on AWS
source aws.amazon.com Aug 06, 2025

AWS continues to expand access to the most advanced foundation models with OpenAI open weight models now available in Amazon Bedrock and Amazon SageMa...

TL;DR
OpenAI open weight models gpt-oss-120b and gpt-oss-20b are now available on AWS, offering developers and organizations new options to build AI applications with complete control over their infrastructure and data.

Key Takeaways:
  • OpenAI open weight models excel at coding, scientific analysis, and mathematical reasoning, with performance comparable to leading alternatives.
  • These models support a 128K context window and provide adjustable reasoning levels (low/medium/high) to match specific use case requirements.
  • AWS provides access to hundreds of FMs from leading AI companies, giving users the freedom to innovate.
Kitten TTS: 25MB CPU-Only, Open-Source Voice Model
Kitten TTS: 25MB CPU-Only, Open-Source Voice Model
source algogist.com Aug 06, 2025

Article URL: https://algogist.com/kitten-tts-the-25mb-ai-voice-model-thats-about-to-change-everything-runs-on-a-potato/ Comments URL: https://news.yco...

TL;DR
Kitten TTS: A 15M-parameter, <25 MB text-to-speech model that runs on CPUs without requiring GPUs, enabling efficient edge AI and accessibility applications.

Key Takeaways:
  • Achieves impressive quality with a tiny number of parameters (15M), rendering it suitable for edge AI and accessibility applications.
  • Runs efficiently on low-end edge devices such as Raspberry Pi and can also be deployed on a wide range of hardware, including smartphones.
  • Released under the permissive Apache 2.0 license, allowing for ease of development and deployment in both personal and commercial projects.
OpenAI’s open‑source model: gpt‑oss on Azure AI Foundry and Windows AI Foundry
OpenAI’s open‑source model: gpt‑oss on Azure AI Foundry and Windows AI Foundry
source azure.microsoft.com Yesterday

The post OpenAI’s open‑source model: gpt‑oss on Azure AI Foundry and Windows AI Foundry appeared first on Source....

TL;DR
Microsoft has released gpt-oss models with open weights, empowering developers to create with AI, fine-tune, and deploy on their own terms.

Key Takeaways:
  • Azure AI Foundry provides a unified platform for building, fine-tuning, and deploying intelligent agents while Foundry Local brings open-source models to the edge.
  • Two gpt-oss models, gpt-oss-120b and gpt-oss-20b, are available with unprecedented ability to run, adapt, and deploy on custom terms.
  • gpt-oss-120b excels at complex tasks like math, code, and domain-specific Q&A, while gpt-oss-20b is optimized for agentic tasks and runs efficiently on Windows hardware.
Excited to bring OpenAI’s gpt-oss models to Azure AI Foundry and to Windows via Foundry Local. It’s hybrid AI in action: mix and match models, optimize for performance and cost, and meet your data where it lives.
Excited to bring OpenAI’s gpt-oss models to Azure AI Foundry and to Windows via Foundry Local. It’s hybrid AI in action: mix and match models, optimize for performance and cost, and meet your data where it lives.
source www.linkedin.com Aug 06, 2025

The post Excited to bring OpenAI’s gpt-oss models to Azure AI Foundry and to Windows via Foundry Local. It’s hybrid AI in action: mix and match models...

TL;DR
Microsoft is integrating OpenAI's gpt-oss models with Azure AI Foundry and Windows via Foundry Local.

Key Takeaways:
  • This integration enables users to mix and match AI models, optimize for performance and cost, and meet their data where it lives.
  • OpenAI's models now have enterprise legs, bringing hybrid AI capabilities to a wider audience.
  • This move aims to empower individuals with the tools to achieve their purposes, as per Microsoft's mission statement.

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AI Tools

source github.com
Show HN: Kitten TTS – 25MB CPU-Only, Open-Source TTS Model

Kitten TTS is an open-source series of tiny and expressive t..

Opensource