Listen to today’s podcast: https://www.youtube.com/channel/UC-nqwUyvLDEvs7bV985k-gQ
AI Daily Podcast 02/07/2026
Welcome back! Today’s podcast episode was created from the following stories: a mix of big-company strategy, fast-moving product rumors, investor jitters, and practical tools you can use. Here are the highlights and why they matter.
Sign me up for near-instant image generation for the Galaxy S26 if this rumor is right
Samsung is reportedly partnering with Nota on an on-device image generator for the Galaxy S26 that could produce images from text in under a second, potentially dubbed ‘EdgeFusion.’ On-device AI promises privacy and speed, but raises questions around power and battery trade-offs as regions split between Snapdragon 8 Elite Gen 5 and Exynos 2600. It aligns with Samsung’s pledge of ‘user-centric, next-gen AI’ and hints at a more conversational Bixby.
Source: Read the full story
PwC is rethinking how to train workers in the AI era, and it’s betting on ‘skills, not titles’
PwC’s new Learning Collective prioritizes 30 key skills—15 AI-centric and 15 human-centric—signaling a shift from job titles to demonstrable capabilities. The firm is using AI agents for real feedback, launching a tech engineering career track, and exposing associates to AI from day one. The goal: build adaptable teams and make learning collaborative, intentional, and directly tied to client impact.
Source: Read the full story
Bollywood dance teammates raised $5.3 million for their Y Combinator AI startup. Read their pitch deck.
Orange Slice raised $5.3 million to help sales teams generate high-signal prospect lists from prompts and live web data, betting that targeting—not messaging—is the real bottleneck. Backers include 1984 Ventures, Moxxie Ventures, and Paul Graham, with early customers among YC startups. The founders, fresh out of Michigan and YC, plan to scale engineering to meet demand.
Source: Read the full story
Microsoft AI CEO says vibe coding is making apps easier to build
Mustafa Suleyman says ‘vibe coding’—using AI to rapidly prototype and ship apps—lets anyone spin up web apps in seconds, challenging traditional software categories. As agents and AI tools absorb more workflows, investors are questioning which software still matters and who will build the agents we all use. The takeaway: experiment hands-on to understand the tech’s strengths and limitations—and where it could replace existing tools.
Source: Read the full story
She saw the AI software collapse coming almost a year ago. Here’s what she expects next.
Consultant Michelle Miller says software valuations are being re-rated as AI reshapes pricing, growth, go-to-market, and risk—especially for mid-market vendors. Expect consolidation to surge (30–40% YoY M&A in 2026) while ‘trust infrastructure’ and real business transformation separate winners from laggards. Her caution: most GenAI pilots stall, so move beyond experiments and redesign how work gets done.
Source: Read the full story
Reddit CEO says the platform will thrive not on AI slop but by being a place for ‘humans to talk to other humans’
Steve Huffman positioned Reddit as ‘the most human place on the internet’ amid generative content and opacity, emphasizing verified identities and plans for bot labeling. Reddit continues to use AI for search summaries, recommendations, and ads, while keeping authenticity central to the experience. The company beat Q4 estimates, underscoring that trust and community can be a competitive moat in the AI era.
Source: Read the full story
Roblox advertises AI tools that immediately rip off Clair Obscur: Expedition 33
Roblox teased a ‘real-time, action conditioned world model’ alongside ‘4D generation’ for auto-creating playable worlds, but a showcase drew backlash for resembling assets from Clair Obscur: Expedition 33. The incident spotlights growing scrutiny over training data, attribution, and IP risk in generative tools. As platforms blend proprietary and external data, transparency will be vital to avoid legal and reputational blowback.
Source: Read the full story
TechEx Global returns to London with enterprise technology and AI execution
At TechEx Global 2026, speakers emphasized that AI is moving from answers to execution—autonomously running processes, managing workflows, and making decisions. With 8,000 leaders across AI, cloud, security, IoT, and automation, the focus stayed on deployment, governance, and measurable business outcomes. The message: applied AI is here—scale it responsibly and tie it directly to operations.
Source: Read the full story
How manipulation-proof is your AI agent? Send it to a page full of hidden prompt injection attacks and find out.
A new testbed catalogs 10 hidden prompt-injection techniques—from white-on-white text and hidden divs to zero-width characters—so teams can benchmark agent defenses. It recommends sanitizing HTML, stripping concealed content, and testing across languages and modalities, with a public leaderboard to track robustness. Agents may dodge text-based attacks via screenshots, but remain vulnerable to visual deception—so defense must be multilayered.
Source: Read the full story
Across these stories, AI is accelerating on every front: from phones that generate images in a heartbeat to enterprises retooling around skills, from vibe-coded apps and agent security to the market’s reckoning with new economics. The common thread is execution with trust—building real products, measurable outcomes, and safeguards that keep humans at the center. See you next episode.
