MarkTechPost (2 weeks ago)
Perplexity Research published a new post-training study. It trains a model inside Perplexity Computer on real user sessions, including failed ones. The method pairs rejection sampling fine-tuning with hint-guided self-distillation.
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Cerebras CEO Andrew Feldman has a message for AI leaders spreading doomsday warnings: Maybe stop talking? At TechCrunch Disrupt, he argued that the industry’s focus on AI’s risks is drowning out its potential benefits.
A Saudi OpenAI engineer has been arrested for allegedly planting a hidden recording device in an executive conference room at the company’s San Francisco offices to secretly record sensitive conversations.
Discovery of ‘sophisticated’ gadget adds to company’s list of privacy concerns after hackings by rogue agents OpenAI said it has found a hidden recording device in one of its offices and has referred the matter to the FBI. One of its employees has been arrested.
If you’re not using some of these skills, you’re missing out on a chance to streamline your days, keep up to date and more.
An OpenAI engineer has been arrested over a listening device found behind a television in an executive conference room, and is charged with endeavouring to intercept oral communications. OpenAI says no model weights, source code or customer data were taken.
The company asked its AI models to figure out what the device was.
Z.ai’s GLM-Legal is a legal AI model built on GLM-5.3-Flash. It scores 19.2% all-pass on Harvey’s Legal Agent Benchmark, nearly 3x its base, at $0.15 per test. Access is by application.
Alibaba’s Qwen team has introduced QwenGyre, an elastic reinforcement learning RL framework for extreme-long-horizon agent training. QwenGyre is an online reinforcement learning system from Alibaba that trains coding agents through unmodified, black-box harnesses.
We checked 12 AI live translation tools, including Palabra.ai, Google Live Translate, DeepL Voice, Teams Interpreter and Wordly, against official pages for languages, latency, platforms and pricing.
TII has released Falcon-ASR, a 1.6B speech recognition model for Arabic with an Emirati focus. It reports 20.92% average WER on 6 Arabic test sets, but weights and an API are not yet available.
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