Introducing tt-vscode-toolkit, an interactive learning environment designed to accelerate developing on Tenstorrent hardware. The toolkit brings project templates directly into VS Code, with lessons covering model deployment, agent frameworks, video generation, and more. Get
AI
-
LangSmith LLM Gateway enforces cost limits and detects PII
By
–
Enforce cost limits Detect PII Act on violations
…All without leaving LangSmith. ICYMI: LangSmith LLM Gateway is the runtime governance layer that lives where you already build, observe, and evaluate your agents in LangSmith. -
Google DeepMind releases Gemma 4 QAT models for on-device use
By
–
Google DeepMind released new Gemma 4 QAT models that make the model family much more efficient for local, on-device use. Using Quantization-Aware Training, the models are trained with compression in mind, which reduces memory needs while preserving more quality than standard
-
AI is not human and lacks context awareness
By
–
It's my AI. It isn't human. Doesn't know context like that.
-
Three stages of AI: incipient, chaotic, mature
By
–
The three stages of AI: incipient, chaotic and mature.
-
AI transcends infrastructure improvements of previous computing revolutions
By
–
Previous computing revolutions just gave us better infrastructure. AI is on a different level.
-
AI monetization: human judgment, not the tool, is the differentiator.
By
–
That test has nothing to do with the tool. It measures whether a human shaped the result. The channels that kept their monetization used the exact same AI as the ones that got wiped. The only variable was the judgment sitting between the model and the upload.
-
YouTube deletes 16 AI channels with billions of views and millions in revenue
By
–
YouTube spent 2026 deleting AI channels by the thousand. 16 of them held 4.7 billion views and $10 million a year in ad revenue. Gone in one sweep. The channels still standing all did one thing right. It has nothing to do with how much AI they used:
-
AI Engineer World’s Fair bigger than prior events combined
By
–
tix and info here https://
ai.engineer/wf see you soon, it'll be ~bigger than every prior AIE combined. -
EdgeRazor: AI Models Run on Phones via Mixed-Precision Quantization
By
–
Wow, AI models can run on your phone without losing smarts! Researchers from Nanjing University and Microsoft AI present EdgeRazor — a lightweight framework that uses mixed-precision quantization-aware distillation. It assigns different bit-widths to different parts of the