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MicrosoftMeet MAI-Transcribe-2: A faster and more accurate speech recognition modelNVIDIASparks Fly: NVIDIA Accelerates Local AI at IFA 2026NVIDIANVIDIA to Acquire Hugging FaceMicrosoftThe yield imperative: Rethinking success in AI infrastructureGoogleTry Google Pics: Easy image creation and editing in Google WorkspaceAnthropicDeveloping Enterprise Frontier Safeguards with our customersMicrosoftMicrosoft and DepEd partner to bring AI tools to 1 million teachers across the PhilippinesAnthropicPreviewing the Model Hardware StandardNVIDIANVIDIA NVLink Fusion Expands With NVHBM Custom High-Bandwidth MemoryAnthropicFunding better evaluations of AI’s impact on wellbeingGoogleGemini API Managed Agents: 3.6 Flash, hooks, and moreMetaReimagining Independence: How Meta’s AI Models Are Helping the University of Pittsburgh Transform Assistive RoboticsGoogleExpanding Managed Agents in Gemini API: background tasks, remote MCP and moreMetaIntroducing Muse Image and Muse VideoMetaFrom Brain Waves to Words: Brain2Qwerty Offers a New Path to Communication Without SurgeryOpenAIFrom model to agent: Equipping the Responses API with a computer environmentOpenAIUnrolling the Codex agent loopOpenAIIntroducing GPT-5.1 for developersMicrosoftMeet MAI-Transcribe-2: A faster and more accurate speech recognition modelNVIDIASparks Fly: NVIDIA Accelerates Local AI at IFA 2026NVIDIANVIDIA to Acquire Hugging FaceMicrosoftThe yield imperative: Rethinking success in AI infrastructureGoogleTry Google Pics: Easy image creation and editing in Google WorkspaceAnthropicDeveloping Enterprise Frontier Safeguards with our customersMicrosoftMicrosoft and DepEd partner to bring AI tools to 1 million teachers across the PhilippinesAnthropicPreviewing the Model Hardware StandardNVIDIANVIDIA NVLink Fusion Expands With NVHBM Custom High-Bandwidth MemoryAnthropicFunding better evaluations of AI’s impact on wellbeingGoogleGemini API Managed Agents: 3.6 Flash, hooks, and moreMetaReimagining Independence: How Meta’s AI Models Are Helping the University of Pittsburgh Transform Assistive RoboticsGoogleExpanding Managed Agents in Gemini API: background tasks, remote MCP and moreMetaIntroducing Muse Image and Muse VideoMetaFrom Brain Waves to Words: Brain2Qwerty Offers a New Path to Communication Without SurgeryOpenAIFrom model to agent: Equipping the Responses API with a computer environmentOpenAIUnrolling the Codex agent loopOpenAIIntroducing GPT-5.1 for developers

Funding Radar

View all

xAI

$6B

Series CFoundation Models

Databricks

$10B

Series JAI Infrastructure

Perplexity

$500M

Series BAI Applications

Physical Intelligence

$400M

Series ARobotics

Chosen builder wedge

A2ZAI Checks is the utility layer on top of builder radar

The site stays useful as launch radar and discovery, but the product edge is a shareable scorecard builders can produce every time they ship. Supporting surfaces like learn still exist with 15 lessons and 126+ terms, but they are now secondary to shipping workflows.

Viral Artifact

GitHub PR scorecard

Shareable PR comment

A2ZAI Checks

Prompt regression check for `support-agent.yaml`

Quality

+8.4%

Latency

+220ms

Cost

-31%

Passing: `refund-policy`, `invoice-lookup`, `cancel-subscription`

Regressed: `edge-case-promotions` on `gpt-4.1-mini`

Recommendation: merge after fixing one retrieval prompt and rerunning the pack.

Public Card

Benchmark card

Linkable showcase

Repo benchmark

support-agent / checkout-recovery

128 eval cases

Best model route

Claude Sonnet + GPT-4.1-mini fallback

Win summary

12% better success at 29% lower cost

Pass rate 94%Safety stable1 flaky case

This is the artifact that spreads on X, GitHub, and founder launches: a benchmark card builders can link to when they ship.

AI Stock Pulse

MS
MSFT

Microsoft

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NV
NVDA

NVIDIA

$228.45
+1.08%
AM
AMZN

Amazon

$258.90
+1.05%
AA
AAPL

Apple

$328.21
+1.03%
ME
META

Meta

$610.68
+1.02%

Market data delayed. For informational purposes only.