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Vibekollen Nytt
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BloggTechCrunch AI
On Tuesday, Musubi announced a lightweight decision model made for real-time moderation called PolicyLM-1.7B, released with open weights.
6 okt. techcrunch.com
PoddThe AI Daily Brief
Nearly 98% of US households don’t pay for an AI subscription. Is that a massive untapped market or a sign that Silicon Valley is building for itself? NLW explores both sides of the consumer AI debate, from power-user spending to entertainment and advertising. In the headlines: Reflection unveils its American open model, and Microsoft and Meta cut their Claude spending.Brought to you by:KPMG – Research from KPMG and the University of Texas at Austin shows the highest-impact AI users treat AI like a reasoning partner — and those skills can be taught at scale. Learn more at https://kpmg.com/us/SophisticatedGranola - The AI notepad for people in back-to-back meetings. Try it free granola.ai/brief Harbor - Invest in the AI ecosystem.
6 okt. podcasters.spotify.com
VideoAll About AI
Start Using AI Predictions To Beat The Market Today (beginner's guide) Register for GTC Berlin 2026 Here: https://nvda.ws/45nX2N6 Prompts used in video: https://github.com/AllAboutAI-YT/beat-the-market Sikt Intelligence (my startup) https://www.siktintelligence.com/ Kalshi: https://www.kalshi.com/r/aaa Polymarket: https://polymarket.com/?r=allabtai3 👊 Become a YouTube Member to Support Me: https://www.youtube.com/c/AllAboutAI/join Business Inquiries: kbfseo@gmail.com 00:00 Opus 5.5: Three AI Trading Experiments 01:17 Building an Autonomous Polymarket Researcher 02:48 How the Auto ML Research Loop Works 05:05 Live Experiments, Results & Research Memory 07:07 Hyperliquid Demo: Trading with Voice Commands 10:24 Kalshi: Finding Mispriced Treasury Contracts 12:57 Market Scanning, Liquidity & Contract Rules 14:40 Opus 5.5: First Impressions & Next Steps
6 okt. youtube.com
BloggTechCrunch AI
Nvidia-backed Lambda is raising up to $4 billion at a $14.5 billion pre-money valuation ahead of a planned 2027 IPO, led by Coatue and Blackstone.
6 okt. techcrunch.com
BloggGoogle DeepMind
Introducing EmbeddingGemma 2, an open multimodal embedding model optimized for privacy-first use cases
6 okt. deepmind.google
BloggTechCrunch AI
Personal AI agents promise to shop, book flights, and make reservations for you. But deliberate blocks and anti-bot defenses are getting in the way, leaving consumers caught in the middle. A new standard aims to help.
6 okt. techcrunch.com
BloggTechCrunch AI
The AI lab's personal assistant is an operating system from the future designed to compete with Muse, Dots, and Instinct.
6 okt. techcrunch.com
BloggTechCrunch AI
Mirror Particle will launch at TechCrunch Disrupt's Startup Battlefield 200 with a world model built from scratch to predict human behavior, arguing that LLM role-play falls short for market research and brand strategy.
6 okt. techcrunch.com
BloggOpenAI
Atlassian and OpenAI are expanding their partnership to connect frontier models with enterprise knowledge and help teams plan, build, and deliver work.
6 okt. openai.com
BloggTechCrunch AI
"We created this program because we believe the benefits of AI will reach most people through the companies that build on top of models, rather than through the models alone."
6 okt. techcrunch.com
BloggTechCrunch AI
The maker of the open source document editor says it has no plans to add AI to its software's default configuration, citing user privacy.
6 okt. techcrunch.com
BloggTechCrunch AI
French AI lab Mistral AI has released Mistral Large 4, a new large multimodal model aiming to leapfrog both American and Chinese rivals.
6 okt. techcrunch.com
PoddEye on AI
Everyone assumes AI in customer operations means fewer people and lower costs. The data from 700 customer operations leaders is more complicated, and more honest. Dan O'Connell, CEO of Front, joins Craig Smith with findings from a survey of customer support, service, and account management leaders that reveal what's actually happening as enterprises deploy AI at scale, and the central finding is a problem nobody has named yet. For every hour of actual customer resolution, organizations spend roughly three hours on internal coordination: the handoffs, context transfers, escalation management, and back-channel communication that happens invisibly between customer interactions. More than 40% of companies don't measure this at all. AI is making it worse before it makes it better, because more agentic automation generates more coordination events, not fewer, and the companies reporting the highest AI technology satisfaction in the survey are also reporting higher coordination burdens. The survey also pushes back on a dominant narrative: that AI in customer operations is primarily about cutting headcount.
6 okt. aneyeonai.libsyn.com
BloggTechCrunch AI
Pinterest’s new AI-powered Beauty Guides translate hair and nail Pins into salon terminology, with estimated costs, appointment times, and maintenance needs.
6 okt. techcrunch.com
BloggTechCrunch AI
Get all of your scaling and tech questions answered at TechCrunch Disrupt 2026. Here's the full breakout session agenda, happening October 13-15 in San Francisco. Register now to join and save up to $100, and get a second pass at 50% off.
6 okt. techcrunch.com
BloggNVIDIA
Telecom operators are increasingly building their AI strategies on open models — and the reasons go beyond mere cost. Open models give telcos the ability to trust, control and customize AI across their most critical workloads — from autonomous networks to customer care. NVIDIA’s latest State of AI in Telecommunications report reflects this shift, with 89% of respondents reporting that open source models and software are important to their company’s AI strategy. For operators, the strategic value of open models is fivefold: They expand access to frontier‑level intelligence at lower cost, allowing operators to reserve closed models for the workloads where they drive the most value. Independent benchmarks such as the Artificial Analysis Intelligence Index v4.3.2 show that leading open models are becoming more competitive across demanding reasoning, coding, scientific and agentic workloads. They support telco‑specific customization, with open weights and training recipes that operators can fine‑tune for their own operations using network, customer and industry data.
6 okt. blogs.nvidia.com
