🌍 A steel monolith is recording Earth's collapse in real time. Built in Tasmania, it logs climate data to outlast civilization. History is watching. Sources: ABC News, CNN #omgfacts# #Climate# #Science#

“I want people to see that Black style is not monolithic. It is diverse, it is complex, it is always evolving.” Ahead of tonight’s Met Gala in New York, we’re with actor LaKeith Stanfield and @ferragamo’s creative director Maximilian Davis as they prepare for fashion’s biggest night at the #MetGala#

🎼 Solve hard tasks that mix text, image, audio, and video by decomposing them across specialized sub-agents running in parallel. This work shows a well-matched team beats one giant monolithic model. Title: Orchestra-o1: Omnimodal Agent Orchestration URL: 💡 Overview Orchestra-o1 is a hierarchical agent framework that separates high-level orchestration from low-level tool execution to handle tasks where multiple modalities coexist. It specializes sub-agents per modality and runs independent sub-tasks in parallel for efficiency. ⚠️ The problem Existing orchestration frameworks handle only limited modalities and fail to generalize to scenarios where text, image, audio, and video coexist and interact at once. 🛠 Approach ・Represent each backend with a skill vector plus a cost-latency profile, and select via cost-aware matching ・Assign perception tools (image/audio/video analysis) and action tools (search, page visit, code execution) ・Build a latent dependency graph over sub-goals and run independent tasks in parallel ・Train with DA-GRPO: score step-level decisions, not just final answers, using a multi-dimensional rubric that weights decision quality at 0.6 📊 Results (their OmniGAIA benchmark) ・Orchestra-o1-GPT-5 hits 72.8%, beating the second-best Gemini-3-Pro by 10.3 points ・The open-source Orchestra-o1-8B (from Qwen3-8B) reaches 30.0%, best among open omnimodal agents ・It reaches 72.8% at cost 341.6, cheaper and far more accurate than weaker baselines ・By difficulty: Easy 80.3%, Medium 75.0%, Hard 56.4% #AIAgents# #Multimodal#

Fifty years ago, Devils Tower National Monument became a beacon for humans entranced by brushes with aliens in director Steven Spielberg's "Close Encounters of the Third Kind." In turn, the 867-foot monolith protruding from the surrounding Wyoming prairie like the stump of the world's largest tree became a big draw for tourists.

When you buy $10,000 of the Dan Ives Wedbush AI Power & Infrastructure ETF $IVEP here's how much of each stock you're buying: $483 of Schneider Electric $SBGSY $436 of Constellation Energy $CEG $426 of Eaton $ETN $419 of Equinix $EQIX $418 of Siemens Energy $SMERY $407 of Williams Companies $WMB $404 of NextEra Energy $NEE $399 of Baker Hughes $BKR $390 of Southern $SO $389 of Johnson Controls International $JCI $384 of Digital Realty Trust $DLR $381 of Quanta Services $PWR $371 of Kinder Morgan $KMI $358 of GE Vernova $GEV $349 of Monolithic Power Systems $MPWR $349 of Vertiv Holdings $VRT $344 of Cameco $CCJ $317 of Southern Copper $SCCO $315 of Bloom Energy $BE $314 of Coherent $COHR $307 of Vistra $VST $278 of nVent Electric $NVT $277 of Celestica $CLS $273 of Hubbell $HUBB $238 of NRG Energy $NRG $218 of BWX Technologies $BWXT $202 of Talen Energy $TLN $194 of Ormat Technologies $ORA $178 of NuScale Power $SMR $163 of Willdan Group $WLDN Disclosure: Wedbush is a WOLF Financial partner. This post is for informational purposes only, not investment advice.

Chamath Called the SaaS Comeback on May 15th: Salesforce Is Up 50% Since! @Jason: “Chamath, what's your take on this? You've been pretty critical of the SaaS space in previous episodes.” @chamath: “I think the high end of the market where Marc (@Benioff) operates, where the large monoliths operate, is quite safe. What people are finding is, ‘Hey, hold on a second. This is a lot harder than we thought.’ It's not like boop, beep, boop, put in a prompt and beep, bop, boop, it all works. It's not how it works. I think we're a little oversold. Now, I think this consolidation and the re-rating can happen in the opposite direction. So what is the opposite trade? The opposite trade is who has constructive net dollar retention, who has negative churn that's been really predictable, which is a way of saying who has the best relationships. Those guys I think are positioned to crush.” What to look for in SaaS companies in the AI Era: -- constructive net dollar retention -- predictable negative churn -- the best relationships $CRM