Sr. Content Developer at Microsoft, working remotely in PA, TechBash conference organizer, former Microsoft MVP, Husband, Dad and Geek.
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Companies Are Spending 5x More on AI Now

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From: AIDailyBrief
Duration: 30:32
Views: 1,787

Menlo’s latest enterprise AI report shows spending per company up nearly five times in a year, driven by agents. NLW breaks down ten key stats on frontier model demand, Anthropic’s rising market share, coding agent revenue, and whether AI is eating SaaS. In the headlines: AI stocks suffer the worst drawdown since 2020, Anthropic IPO doubts grow, and Meter reports AI-led research is accelerating.

The AI Daily Brief helps you understand the most important news and discussions in AI.
Subscribe to the podcast version of The AI Daily Brief wherever you listen: https://pod.link/1680633614
Get it ad free at http://patreon.com/aidailybrief
Learn more about the show https://aidailybrief.ai/

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alvinashcraft
2 hours ago
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Pennsylvania, USA
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The Hangar DX: CAFE(S) framework with Brian Houck and Max Kanat Alexander

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From: Hangar DX podcast
Duration: 0:00
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Max Kanat-Alexander (Developer Experience at Capital One) and Brian Houck (Distinguished Scientist at DX) co-authored the research behind CAFE(S), a framework that defines what high-quality context for AI agents looks like.

They join Ankit Jain, CEO of Aviator, in this live recording of The Hangar DX podcast to unpack it.

We’ll go through the five dimensions:
Clarity
Actionability
Fidelity
Efficiency
(Security).

We’ll also cover why the S sits in parentheses, and why context earned its own framework.

You'll also hear about how to put the framework in practice: what teams should avoid measuring for now and which signals to watch instead, which dimension to fix first if you can only fix one, and who owns context review once context is treated as an engineering artifact.

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alvinashcraft
2 hours ago
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Pennsylvania, USA
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IoT Coffee Talk: Episode 338 - "It's Just A Tool!!" (The Obvious Secret of AI)

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From: Iot Coffee Talk
Duration: 58:37
Views: 13

Welcome to IoT Coffee Talk, where hype comes to die a terrible death. We have a fireside chat about all things #IoT over a cup of coffee or two with some of the industry's leading business minds, thought leaders and technologists in a totally unscripted, non-AI affected and manipulated, organic format.

This week Debbie, Steve, Dimitri, Rob and Leonard jump on Web3 for a discussion about:

🎶 🎙️ BAD KARAOKE! 🎸 🥁 "Mean Street", Van Halen
🐣 (01:14) AMD in Depth and their leadership in CPUs for supercomputing!
🐣 (02:26) Best way to crash your portfolio - AI.
🐣 (04:13) Why we still have not figured out that data quality is important for AI.
🐣 (10:13) Filling the gaps in your data and knowledge with IoT and AI.
🐣 (12:25) The European fridge hack wake up call and a lesson in laziness.
🐣 (16:26) Why IoT supply chain and device trust can save humanity and economy.
🐣 (20:19) Crypto + prediction markets - a marriage made in hell.
🐣 (29:31) Why the question is more important than the model.
🐣 (30:18) The essential friction of human learning.
🐣 (33:22) Are prediction markets predictive?
🐣 (34:32) Why watering crops with Brawndo is the least of our concerns.
🐣 (38:49) The key to AI value is to recognize that AI is a tool not intelligence.
🐣 (45:35) Try to use your brain first before you use AI.
🐣 (47:34) Enjoy the chatbots while they are free.
🐣 (49:28) Big plans for AWS re:Invent and Godzilla!

AI SYNOPSIS:
The IoT Coffee Talk crew jokes about being the “number one” podcast, touches on AMD’s Epyc deep dive in Las Vegas, and reacts to stock market losses tied to the AI/semiconductor wave. They argue AI is only as good as curated, structured data and that gaps, labeling, ontology, and disciplined organization matter, with IoT positioned as a way to fill missing context via better sensing and standards (including a newly announced ISO standard for sharing equipment data). The discussion pivots to cyber incidents, including hacked refrigerators in Europe via manufacturer backdoors and how basic IoT monitoring could provide early warning, plus concerns about supply-chain risk and firmware analysis with AI. They also discuss crypto exchange risks (Binance), skepticism about AI’s real-world benefits versus hype, education impacts, “Jev” decision models, and the view that AI is a tool that requires human effort and discernment.

It's a great episode. Grab an extraordinarily expensive latte at your local coffee shop and check out the whole thing. You will get all you need to survive another week in the world of IoT and greater tech!

Tune in! Like! Share! Comment and share your thoughts on IoT Coffee Talk, the greatest weekly assembly of Thinkers 360 and CBT tech and IoT influencers on the planet!!

If you are interested in sponsoring an episode, please contact Stephanie Atkinson at Elevate Communities. Just make a minimally required donation to www.elevatecommunities.org and you can jump on and hang with the gang and amplify your brand on one of the top IoT/Tech podcasts in the known metaverse!!!

Take IoT Coffee Talk on the road with you on your favorite podcast platform. Go to IoT Coffee Talk on Buzzsprout, like, subscribe, and share: https://lnkd.in/gyuhNZ62

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alvinashcraft
2 hours ago
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How Many Tries We Need Using Coding Agents May Say More About Standards Than Competence

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In a conversation between a group of software developers recently, one of them talked about how many attempts it took them using Claude Code to get a good result.

The consensus was that devs who needed fewer tries were better at using the tool. But I’m not so sure…

I’ve recently been spending my weekends and early mornings “vibe-coding” a browser-based tool with Claude Code for folks to use in online modular design workshops – in the definitive Karpathy sense that I wasn’t even looking at the code being generated. (When I did finally peek at the code, I regretted it.) And it’s been through a lot of iterations and many, many tweaks to get it into the ballpark of what I consider good enough for the workshops.

So I must be doing it wrong, right?

Or do I just have a clearer sense of what I want?

Take two film directors – Ed Wood and Stanley Kubrick. Wood famously rarely did more than one take on any of his movies. Kubrick did many, many takes. Kubrick must have been doing it wrong, no?

Or was he just less easily satisfied? Watch their two most famous science fiction films back to back and let me know who you think was the better director.

There’s some research that suggests that the divide between the “I did 3 months’ work in 3 hours with Claude” and the “It would have been quicker to do it myself” folks might be more plausibly attributed to the height of their quality bar than to actual AI skills.



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alvinashcraft
2 hours ago
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2.6 Experimental (2.6.6-experimental) 🧪

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Windows App SDK 2.6 Experimental extends the experimental controls and resource APIs, with more accessible WinUI interactions and new video-scaling options. It follows Windows App SDK 2.6.5 stable and brings forward the changes from that release alongside the experimental-only additions below.

What's new in WinAppSDK 2.6 Experimental:

  • TableView hierarchy and live data. TableViewSource.ParentBy builds hierarchical rows, and IsLiveShaping keeps sorting, filtering, grouping, and hierarchy up to date as item properties change. The control also adds cell and column-header context menus, row expansion APIs and automation support, and improvements to high-contrast rendering and column resizing.
  • Chart accessibility. ChartAutomationPeer and chart parts add UI Automation support to the experimental Chart control.
  • Zero-copy resource access. ResourceCandidate.ValueAsMemoryBuffer provides access to embedded resource bytes without copying them. New native resource-view APIs bring the same capability to C and C++ callers.
  • Scrolling content outside bounds. ScrollView.CanContentRenderOutsideBounds and ScrollPresenter.CanContentRenderOutsideBounds let apps opt out of viewport clipping so content can render outside the bounds. Both properties default to false.
  • Video-scaling options. A new VideoScaler.CreateAsync overload accepts execution-device, scenario, and performance or quality preferences through VideoScalerCreationOptions. Input color-matrix and color-range settings let apps describe BT.601 or BT.709 frames with full or limited color ranges.

Bugs fixed:

Bug fix Runtime Compatibility Change
Improved Window.Width and Window.Height behavior after a window closes, retaining the last restored client size. Explicitly set height is preserved when title-bar settings change on a restored window, and native size requests are limited to 65,535 physical pixels per dimension. WinUI_WindowWidthHeight
Added UI Automation selection support for InkToolbar flyout items and a stroke-width slider automation peer so Narrator announces stroke widths instead of percentages. Fixed InkCanvas input clipping at display scaling above 100%. InkCanvas_InkingSupport
Fixed custom dependency properties and metadata being lost when shutting down and restarting XAML. WinUI_EnableShutdownRestart
Added clearer debugger guidance when XamlChartsResources is missing. Charts_ExperimentalControlApi
Fixed ContentDialog entrance animations and unwanted keyboard-accelerator tooltips on MenuFlyout items when XamlChangeId.OptimizeApplyStyles is enabled. See microsoft/microsoft-ui-xaml#11257. Xaml_OptimizeApplyStylesApplyTemplate
Fixed a reference cycle during input teardown by closing the system InputSite. LiftedInput_CloseSystemInputSite
Fixed a crash when a Flyout theme changes before its presenter is available. See microsoft/microsoft-ui-xaml#12089. WinUI_FlyoutCheckForNullPresenter
Fixed missing InkToolbar translations for accessible names, color descriptions, and pen configuration text. See microsoft/microsoft-ui-xaml#12162. N/A, shared localization-resource update

To see everything that's new and changed, see the full Windows App SDK 2.6 Experimental release notes.

Try it out

Getting started

To get started using Windows App SDK to develop Windows apps, check out the following documentation:


This discussion was created from the release 2.6 Experimental (2.6.6-experimental) 🧪.
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alvinashcraft
3 hours ago
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Pennsylvania, USA
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OpenAI valued at $1.25 trillion, as rival Anthropic nears its IPO

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OpenAI is now valued at $1.25 trillion in a new round of funding that has raised another $11 billion, according to Bloomberg. That would make it one of the world's most valuable companies, not long after raising $122 billion from investors in March at a valuation of $852 billion.

Echoing FT and Wall Street Journal reports from last week, Bloomberg says OpenAI is still pursuing additional investments that could increase the amount to $20 billion, and that it had initially hoped to raise as much as $30 billion at a higher valuation of $1.4 trillion. That was before tech stocks dropped, and the results of the midterms showed how much public o …

Read the full story at The Verge.

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alvinashcraft
10 hours ago
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