Destination
Researchers pinpoint why larger language models pick up skills that small ones miss

Small language models fail at rare tasks because frequent ones constantly overwrite what they've learned. A new study with models ranging from 4 million to 4 billion parameters shows this mechanism in detail and offers a practical fix: instead of scaling up models, it may be enough to increase how often the target task appears in the training data.<br /> The article Researchers pinpoint why larger language models pick up skills that small ones miss appeared first on The Decoder. [...]

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venturebeat
How Anthropic’s ‘Skills’ make Claude faster, cheaper, and more consistent for business workflows

Anthropic launched a new capability on Thursday that allows its Claude AI assistant to tap into specialized expertise on demand, marking the company's latest effort to make artificial intelligenc [...]

Match Score: 105.61

venturebeat
Anthropic launches enterprise ‘Agent Skills’ and opens the standard, challenging OpenAI in workplace AI

Anthropic said on Wednesday it would release its Agent Skills technology as an open standard, a strategic bet that sharing its approach to making AI assistants more capable will cement the company [...]

Match Score: 86.03

venturebeat
New framework lets AI agents rewrite their own skills without retraining the underlying model

One major challenge in deploying autonomous agents is building systems that can adapt to changes in their environments without the need to retrain the underlying large language models (LLMs).Memento-S [...]

Match Score: 84.11

venturebeat
Anthropic Skill scanners passed every check. The malicious code rode in on a test file.

Picture this scenario: An Anthropic Skill scanner runs a full analysis of a Skill pulled from ClawHub or skills.sh. Its markdown instructions are clean, and no prompt injection is detected. No shell c [...]

Match Score: 77.31

venturebeat
98% of market researchers use AI daily, but 4 in 10 say it makes errors — revealing a major trust problem

Market researchers have embraced artificial intelligence at a staggering pace, with 98% of professionals now incorporating AI tools into their work and 72% using them daily or more frequently, accordi [...]

Match Score: 69.31

blogspot
How I Get Free Traffic from ChatGPT in 2025 (AIO vs SEO)

Three weeks ago, I tested something that completely changed how I think about organic traffic. I opened ChatGPT and asked a simple question: "What's the best course on building SaaS with Wor [...]

Match Score: 63.09

venturebeat
Samsung AI researcher's new, open reasoning model TRM outperforms models 10,000X larger — on specific problems

The trend of AI researchers developing new, small open source generative models that outperform far larger, proprietary peers continued this week with yet another staggering advancement.Alexia Jolicoe [...]

Match Score: 54.32

venturebeat
No cloud, no GPUs, no problem: Liquid AI's new model LFM2.5-2.6B brings powerful AI agents to devices as small as a Raspberry Pi

Earlier this week, the AI startup Liquid, formed in 2023 by former MIT computer scientists, debuted LFM2.5-2.6B, a new open-weight language model designed specifically for agentic workloads. In releas [...]

Match Score: 50.80

venturebeat
Microsoft’s open-source SkillOpt automatically upgrades AI agent skills without touching model weights

Agent skills have become an important part of real-world AI applications, providing a mechanism — a set of instructions saved in a folder of text-based markdown (.md) files, usually — for models t [...]

Match Score: 48.46