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Trending NowAug 22, 2026

Inherent, founded by DeepMind alumni, says its AI ‘teammate’ just outperformed Anthropic and OpenAI at replicating research

Built by DeepMind alumni, British AI lab Inherent released Faraday, an AI agent whose ability to replicate scientific papers could be a stepping stone for innovation.

TechCrunch
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AI Agents

We Fired the Apprentices

AI didn t take the entry-level job. It closed the school hidden inside it.Continue reading on Medium »

Medium AI·16m ago
AI Agents

Fine-tuning models with Supervised Contrastive Learning (SupCon)

Speech Emotion Recognition (SER) is a notoriously difficult challenge.Continue reading on Medium »

Medium AI·21m ago
Industry

Tim Cook did alright by the environment — but AI could upend his climate legacy

As he steps down from his post as Apple CEO today, Tim Cook leaves behind a mostly positive environmental record. As far as billionaire tech moguls and the environment go, Cook will likely be remembered as one of the better ones - certainly far from the worst. But it will become harder for the company to meet the climate goals Cook set in place as Apple tries to catch up in the AI race. Under his watch, Apple set industry-leading goals for reducing the amount of pollution created by its products and suppliers. It has managed to keep its carbon footprint from growing while other tech giants see their emissions rise with the energy-needs of … Read the full story at The Verge.

The Verge·29m ago
Industry

Anthropic’s new Fable release is cheaper, less restrictive

Fable 5.1 includes changes meant to reduce token cost and false-positive restrictions from the model's safeguards.

TechCrunch·33m ago
Industry

Thrive’s Kushner defends involvement in FIFA mess, hires Elon’s go-to lawyer

New York's prestigious-yet-secretive venture firm Thrive Capital finally speaks out about its involvement in the messy drama upending international soccer.

TechCrunch·42m ago
Industry

Frontier models can recover up to 65% of facts they can't directly recall — just by thinking longer

When large language models (LLMs) hallucinate, developers typically assume the model lacks the required facts. Engineering teams diagnose the error as missing knowledge. The standard response is to increase model size, expand training data, or build complex retrieval architectures.A new study by researchers at Google Research and Technion demonstrates that the knowledge is often not missing. The model has the information encoded parametrically but fails to surface it during generation. Their experiments show that frontier models like GPT-5 and Gemini-3 encode 95-98% of tested facts. This indicates that in many cases, recall, rather than encoding, is the primary bottleneck for factual accuracy. By understanding how to unlock existing knowledge through inference-time computation, engineering teams can build more reliable applications without necessarily relying on larger models or external databases.Knowledge profiling: measuring what models actually knowTo map this gap between storage a

VentureBeat·52m ago
Industry

The rise of AI ‘civilizations’ and the fall of corporate responsibility

Depending on who you ask, developer platform Hugging Face was recently attacked by OpenAI - after it lost control of its own AI tools - or by a succession of AI "civilizations." Welcome to the linguistic battlefield of AI safety, where word choices can shift responsibility for a massive cybersecurity incident from a company to the AI it built. And the discourse online is getting heated, and all over a blog from last week. Until last week, the details surrounding the OpenAI-Hugging Face hack felt fairly settled. In July, a cybersecurity test of one of OpenAI's autonomous AI agents went wrong. The agent escaped its supposedly isolated test en … Read the full story at The Verge.

The Verge·1h ago
Industry

Closing an Azure OpenAI assistant's retrieval gap didn't take a new identity platform. It took one filter and a narrower assistant.

Egiziago Cioffi is the IT and Enterprise Architect and CEO of SynSphere Italia, a Microsoft partner based in Milan. He built an agent himself. He wrote the indexing job, configured the Azure OpenAI retrieval pipeline, connected it to SharePoint, and watched it pass every evaluation his team ran.His Azure OpenAI email assistant auto-resolves about 60% of inbound customer email, Cioffi told VentureBeat in written responses to our interview questions. The evaluation scores were clean, and the unit tests passed. None of them asked the question that mattered.Cioffi ran a low-privilege account against the same questions a high-privilege account had already put to the assistant. The outputs did not match. The assistant returned SharePoint content the requesting user could not have opened in SharePoint on their own. The logs told a different story than the evaluation scores.Cioffi s retrieval logs are the evidence for this specific production failure. What follows is independent data showing t

VentureBeat·1h ago
Robotics

Top 10 robotics stories of August 2026

August 2026's top 10 stories included large funding rounds, updates in the humanoid robot industry, and the latest physical AI models. The post Top 10 robotics stories of August 2026 appeared first on The Robot Report.

Robotics Business Review·1h ago
Industry

How accurate have Ed Zitron's AI skeptic predictions been?

Comments

Hacker News·1h ago
AI Agents

Self-Learning AI Agents: How Long-Term Memory Makes AI Smarter

AI agents are moving beyond simple question-and-answer systems.Continue reading on Medium »

Medium AI·2h ago
Industry

Claude Fable 5.1 and Claude Mythos 5.1

Comments

Hacker News·2h ago
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