Amazon tightens the bolts on allowing AI generated code into production systems - more humans needed!
Junior and mid-level engineers at Amazon now have to get a senior engineer to sign off on any proposed changes that were created with AI.
Coders are discovering that AI coding tools can fail in weird, unique ways that might not be detectable by a code reviewer looking for common mistakes. https://www.runtime.news/ai-generated-code-still-needs-a-human-touch/ #AI #Code #AICodingTools #CoPilots #Software #Amazon #GuardRails #Developers #AIGeneratedCode
via #Microsoft : How Microsoft is empowering Frontier Transformation with Intelligence + Trust
https://ift.tt/LMw5XI6
#Microsoft #FrontierTransformation #IntelligencePlusTrust #AI #AITransformation #Copilots #Agents #Agent365 #WorkIQ #FabricIQ #FoundryIQ #Observability #Go…
At Microsoft Ignite in November, we introduced Frontier Transformation — a holistic reimagining of business aligning AI with human ambition to help organizations achieve their highest aspirations and growth potential. While AI Transformation centered on efficiency and productivity, Frontier Transformation challenges us to do more for humanity by democratizing intelligence to unlock creativity and innovation for...
LLM Market Share: Anthropic is kicking _ss and taking share!
Menlo Venture reports that Anthropic now earns 40% of enterprise LLM spend. That's up from 24% last year and 12% in 2023. OpenAI lost almost half of its enterprise share, dipping to 27% from 50% in 2023. Google also gained, increasing its enterprise share from 7% in 2023 to 21% in 2025.
Anthropic’s acceleration is driven by dominance in the coding market, with an estimated 54% market share, compared to 21% for OpenAI. This is up from 42% just six months ago, driven in large part by the popularity of Claude Code.
These three companies account for 88% of enterprise LLM API usage, with the remaining 12% spread across Meta’s Llama, Cohere, Mistral, and a long tail of smaller providers.
Menlo surveyed 500 U.S. enterprise decision-makers, and estimates that US enterprises spent $37B up from last year's $11.5B. https://menlovc.com/perspective/2025-the-state-of-generative-ai-in-the-enterprise/ #AI #Anthropic #OpenAI #LLMs #MenloVentures #Claude #ClaudeCode #Coding #CoPilots
2025 State of #DataSecurity Report
Quantifying #AI's impact on #DataRisk
AI is everywhere. #Copilots help employees boost productivity and agents provide front-line customer support. #LLMs enable businesses to extract deep insights from their data.
👉Once unleashed, however, AI acts like a hungry Pac-Man, scanning and analyzing all the data it can grab.
If AI surfaces critical data where it doesn’t belong, it’s game over. Data can’t be un-breached..."
When someone advocates code #copilots, ask: how are you measuring the results?
Number of lines produced is *always* the wrong answer. (Hint: lower is usually better.)
What *matters* is debugged, secure, correct, desired functionality in production, which is much more effort to compare in a principled way.
I honestly don't know whether these things are currently a net positive or not. (I suspect it varies.) But I know my industry, so I’m pretty confident it's often being mis-measured.
Just like last year, I am starting this year learning more about and with AI and it is EVERYWHERE. Granted, most people are focused on the new opportunities with Generative AI (GenAI) introduced over the last couple years, but there has also been renewed focus on the AI that's been around years, inc
