TrendPulse

Author here. Sharing an architecture idea more than a product, because I think the threat model is under-discussed. There is a failure mode people call the lethal trifecta: an agent with access to private data, exposure to untrusted input, and the ability to send externally. Any two are recoverable. All three together means a hostile instruction hidden in an email can make the agent exfiltrate your data with nobody in the loop. You cannot remove the first two without gutting the assistant. I...

Transcript-based pitch scoring can't tell the difference between a confident claim and a hedged one, because the words on the page can be identical. "We're growing 40% month over month" reads the same whether you believe it or not. We built a demo that streams video to Inter-1 in real time and scores delivery signals (confidence, hesitation, energy) alongside a content score, each signal tied to the exact moment it happened. Tested it on my own pitch. Content scored 87. Delivery ca...

Not the flashy stuff like generating images or writing essays. I'm talking about the feature you barely think about anymore because it's just become useful. For me, it's summarizing long articles and emails. I didn't expect to rely on it this much a year ago. What's yours?

I'm looking for an Amharic text-to-speech service that sounds natural enough for YouTube narration. ​I've tried a few options like elevenlabs,speechify but non of them support amharic. ​If you've used one for videos, which service gave you the best results? ​I'm fine with both paid and free recommendations.

I used to think formal methods and interactive theorem provers like Lean 4 were basically just an extreme sport for type-theory purists. Like cool in theory, but mostly used for re-verifying undergraduate calculus or writing super tedious proofs for things we already knew were true anyway But seeing the shift right now (at least around me and these subs) has been pretty cool. Machine learning and neural provers are actually starting to uncover edge cases that human mathematicians just skipped ...

Article URL: https://github.com/osirisjson/osiris-producers Comments URL: https://news.ycombinator.com/item?id=48747056 Points: 1 # Comments: 1

Article URL: https://techcrunch.com/2026/07/01/meta-like-spacex-looks-to-turn-excess-ai-compute-into-cash/ Comments URL: https://news.ycombinator.com/item?id=48747139 Points: 2 # Comments: 0

Article URL: https://github.com/qataruts/monlite Comments URL: https://news.ycombinator.com/item?id=48747142 Points: 2 # Comments: 0

Article URL: https://www.brimtech.co/notes/why-agents-get-canceled/ Comments URL: https://news.ycombinator.com/item?id=48747314 Points: 1 # Comments: 1

Article URL: https://www.builder.io/blog/ai-sped-up-coding-faster-than-it-sped-up-delivery Comments URL: https://news.ycombinator.com/item?id=48747353 Points: 1 # Comments: 0

Article URL: https://promptowl.ai/resources/persistent-memory-ai-agents/ Comments URL: https://news.ycombinator.com/item?id=48747378 Points: 1 # Comments: 0

Article URL: https://github.com/Toadoum/ai-research-skill Comments URL: https://news.ycombinator.com/item?id=48747615 Points: 3 # Comments: 0

Article URL: https://www.disruptionbanking.com/2026/06/29/we-sat-in-on-aurum-foundations-recruiting-call-they-never-said-investment-once-they-said-referral-marketing/ Comments URL: https://news.ycombinator.com/item?id=48747627 Points: 1 # Comments: 0

Article URL: https://www.cnbc.com/2026/07/01/employers-who-laid-off-workers-for-ai-are-reversing-their-decisions.html Comments URL: https://news.ycombinator.com/item?id=48747635 Points: 5 # Comments: 1

Article URL: https://palab.re/en Comments URL: https://news.ycombinator.com/item?id=48747786 Points: 3 # Comments: 0

Article URL: https://www.firstqa.dev/ Comments URL: https://news.ycombinator.com/item?id=48747826 Points: 3 # Comments: 0

Article URL: https://platformengineering.com/features/platform-engineering-2-0-manage-ai-costs-and-risks-without-rebuilding-infrastructure/ Comments URL: https://news.ycombinator.com/item?id=48747895 Points: 1 # Comments: 0

Article URL: https://www.hollywoodreporter.com/tv/tv-news/netflix-willy-wonka-reality-show-ai-gene-wilder-voice-1236633800/ Comments URL: https://news.ycombinator.com/item?id=48748040 Points: 1 # Comments: 0

Article URL: https://www.sarahtavel.com/p/ai-startups-sell-work-not-software Comments URL: https://news.ycombinator.com/item?id=48748042 Points: 1 # Comments: 2

Article URL: https://www.youtube.com/playlist?list=PLopIqWF8uqDvO08VL6hCvtsNLWShnLVut Comments URL: https://news.ycombinator.com/item?id=48748171 Points: 1 # Comments: 0

Article URL: https://www.youtube.com/watch?v=uWSB7s_DQHw Comments URL: https://news.ycombinator.com/item?id=48748438 Points: 1 # Comments: 0

Article URL: https://abishekmuthian.com/multiple-20-ai-plans-are-better-than-a-single-100-ai-plan/ Comments URL: https://news.ycombinator.com/item?id=48748443 Points: 1 # Comments: 0

Article URL: https://www.thefunsinthefight.com/p/welcome-to-the-dual-state-of-ai-regulation Comments URL: https://news.ycombinator.com/item?id=48748447 Points: 2 # Comments: 0

Article URL: https://www.theatlantic.com/ideas/2026/06/ai-open-ai-anthropic/687689/ Comments URL: https://news.ycombinator.com/item?id=48748476 Points: 1 # Comments: 0

Article URL: https://ai.gopubby.com/ai-native-workflows-have-a-moat-problem-49992bcc3088 Comments URL: https://news.ycombinator.com/item?id=48748492 Points: 1 # Comments: 0

Over the last few months, I've been thinking about one question: Why do we trust AI answers simply because they sound confident? In many domains, that confidence is harmless. But in finance, a single incorrect number can influence lending decisions, covenant monitoring, portfolio reviews, or risk assessments. The problem isn't that AI makes mistakes. Humans do too. The problem is that today's AI systems rarely show why a financial claim should be trusted. That realization led m...

While building agent-based systems with LLM tool use, I kept running into the same failure mode: External content (webpages, files, API responses) would eventually influence agent behavior in unintended ways. Prompt injection isn’t just a “filtering problem” it’s an architectural one. So I built Sentinel Gateway , a middleware layer that sits between agents and tools and enforces a strict separation: Instruction channel (trusted, signed, runtime-issued only) Data channel (untrus...

feels like every week this month theres a new model or a new robot demo and the feed just resets. sonnet 5, geminis video editing thing, the ubtech robots, whatever fable ends up being once its back. curious which of these actually changed something in your day to day versus which ones you watched a demo of once and moved on from.