MarkTechPost (1 week ago)
AWS’s Strands Agents team released Strands Decider 2B, an Apache-2.0 decision model built on Qwen3.5-2B-Base. It returns choices, yes/no probabilities and scores with calibrated confidence in one forward pass, never text.
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The new model promises better writing, less repetition, and fewer clichés.
Announced earlier this year, Google continues to set the stage for its next Android Auto redesign behind the scenes, which might be codenamed “Cielo.” more…
Windows 11 users have been dealing with several frustrating bugs, and Microsoft’s latest Patch Tuesday updates bring some welcome relief.
Cloud security spent a decade learning to see everything. Half of what it found is still open. Tamnoon’s CEO says the next decade belongs to machines that know when not to act, and as of today she is publishing what hers refused. Marina Segal helped build the machines that see everything.
The iOS 27.2 beta Apple released today removes the updated Health app that Apple was testing in earlier betas. The app’s disappearance from the iOS 27.2 beta is not a surprise because the company made it clear that the updated Health experience was never meant to be included in iOS 27.2.
Microsoft just released the KB5126657 update for Windows 10 for users in the Extended Security program during this month’s Patch Tuesday. See what’s included:
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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