BloggTechCrunch AI
Google froze its open source bug bounty program due to a ‘significant rise’ in AI submissions
AI slop seems to be overwhelming bug bounty programs.
för 12 tim sedan techcrunch.com
Vibekollen Nytt
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Vibekollen Nytt
Modeller, verktyg och händelser som formar AI-världen. Hitta nyheter, video och poddar – och följ vad som händer på Vibekollen.
BloggTechCrunch AI
AI slop seems to be overwhelming bug bounty programs.
för 12 tim sedan techcrunch.com
PoddThe Cognitive Revolution
Keerthana Gopalakrishnan, Research Lead for Gemini Robotics at Google DeepMind, returns to discuss the release of Gemini Robotics 2, whole-body intelligence, and the pursuit of generalist humanoid robots. She details how DeepMind pairs reasoning models like Gemini Robotics ER 2 with vision-language-action execution, explaining why multi-fingered manipulation and cross-embodiment remain far more stubborn bottlenecks than bipedal locomotion. Together, they examine the real-world stakes of bringing physical AI into human environments, addressing crucial trade-offs across inference latency, sensor failures, and operational safety where errors carry immediate physical consequences. For full show notes, links, and references, read the episode page:https://www.cognitiverevolution.ai/one-brain-any-body-google-deepmind-s-keerthana-on-gemini-robotics-2-cross-embodiment-humanoids/Sponsors: Athena: Athena matches you with a dedicated, top 1% executive assistant to handle your inbox, calendar, and daily workflows so you can save an average of 15 hours a week.
3 okt. cognitiverevolution.ai
BloggGoogle Gemini
A video showing the September AI updates
2 okt. blog.google
PoddThe AI Daily Brief
Google’s Gemini 4 Argon impresses on benchmarks, but does it signal a real comeback? NLW examines Gemini 4, Claude Sonnet 5.5, and what Muse versus Dots reveals about choosing AI tools. In the headlines: Trump’s super intelligence accord, the America.gov AI portal, and an FTC investigation into OpenAI and Anthropic’s rogue agents.Next Cohort - Learn How to Build Agents - https://register.besuper.ai/register?program=atiAIDB Fall Listener Survey - https://aidailybrief.ai/surveyMultiplayer AI Sprint - https://multiplayerai.ai/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/SophisticatedHarbor - Invest in the AI ecosystem. https://www.harborcapital.com/aidailyHyperagent - Hire a team of always-on agents. New users get $100 in free credits.
1 okt. podcasters.spotify.com
BloggTechCrunch AI
Google launched its first advanced chip into orbit to pave the way for space data centers.
1 okt. techcrunch.com
BloggGoogle Gemini
stylized hero image reading "Guided Vision"
1 okt. blog.google
BloggTechCrunch AI
Satlyt wants to be the Android of orbital computing, offering open software that works on many companies' satellites, versus SpaceX's closed, all-in-one iPhone-style approach.
1 okt. techcrunch.com
BloggGoogle DeepMind
Announcing Gemini 4 Argon, our frontier model for real-world coding, enterprise knowledge work, and cyber defense, rolling out soon.
30 sep. deepmind.google
BloggGoogle Gemini
Stylized promotional blog key art graphic with modern editorial branding and the text "Gemini 4 Argon"
30 sep. blog.google
BloggGoogle DeepMind
Proof of concept for watermarking AI-generated proteins while preserving biological function.
30 sep. deepmind.google
VideoAI Engineer
93 subagents, 12 hours, 2 billion tokens and under $1,000: that's what it took Google's Antigravity to build an operating system kernel from scratch that runs Doom. Kevin Hou, who leads engineering on Antigravity, Google DeepMind's agentic coding product, explains the principle behind it: "Give Messi the ball and get out of the way." Your product should get better every time the model does. Hou traces how coding tools evolved, from autocomplete in 2022 to agents in 2024, agent managers in 2025 and agent teams in 2026. He also shares the lessons from hard calls like removing chat from Windsurf. He then introduces Antigravity 2.0 and the three building blocks of the agent-teams era. The first is dynamic subagents, where Gemini 3.5 Flash leads a team through /teamwork. The second is sidecars, a new plugin protocol that lets agents listen for webhooks, cron jobs and messages. The third is generative UI rendered on the fly. He also shows how DeepMind researchers automated 90% of eval analysis with 100 parallel hypothesis agents.
27 sep. youtube.com
BloggGoogle DeepMind
Introducing Gemini 3.8 Live with Live Avatar, which brings near real-time visual presence to Gemini’s conversational AI.
24 sep. deepmind.google
VideoAI Engineer
Live from STATION F, the AI Engineer Paris 2026 Main Stage continues with a full day of technical talks from the teams building and scaling production AI systems. Watch sessions covering model customization, inference infrastructure, voice and realtime AI, coding agents, software factories, and the emerging AI economy. Day 2 main-stage lineup: • Jakob Pörschmann (Black Forest Labs) — From Pixels to Robots • Dorian Lods (ElevenLabs) — Generating Identity at Scale • Harry Mellor (Hugging Face) — How a Transformers Model Loads in vLLM • Arielle Le Bail (Stripe) — Inside the AI Economy: What Stripe’s Data Reveals • Hervé Bredin (pyannoteAI) — Rebuilding a Streaming Model for Voice AI • Charles Frye (Modal) — The Low-Latency Inference Engineering Playbook • Dominic Pajak (Arm) — Eyes Up: Edge AI Innovation • Yannis Psorakis (Cognition) — Agentic Map-Reduce for Large-Scale Coding Tasks • Matt Pocock — Fixing the PR Bottleneck • Maarten Grootendorst (Google DeepMind) — The Efficiency of Gemma 4 • Olivier Teboul (Gradium) — The Missing Layers of Conversational AI This livestream covers the Main Stage. Additional tracks and workshops run concurrently and are not included in this broadcast.
23 sep. youtube.com
VideoAI Engineer
Två Google-ingenjörer kunde inte återskapa andra forskares prestandatester för AI-modeller och upptäckte varför: benchmark-verktygen mäter ofta fel. Ett verktyg kan säga att det skickade 200 förfrågningar per sekund när det bara skickade 38. Pythons sätt att köra kod gör det svårt att köra flera tester samtidigt. Ibland mäter själva testverktyget så långsamt att det ser ut som om servern är långsam, fast den är fin. Google byggde då Inference Perf, ett nytt testverktyg som kan köra riktiga arbetsbelastningar på ett korrekt sätt och hålla reda på vad som faktiskt hände jämfört med vad som var planerat.
19 sep. youtube.com
BloggNVIDIA
Emerald AI, Google och NVIDIA har startat AI Energy Management Alliance (AEMA), en allianssom hjälper AI-datacenter att smidigt justera sin elförbrukning efter elnätets behov. I stället för att alltid dra samma mängd ström kan dessa datacenter flytta beräkningsuppgifter, använda lagring eller anpassa sig när elnätet är överbelastat. Detta gör det möjligt att få mer data-kraft från befintlig infrastruktur, minska miljöpåverkan och ge kraftbolag större tilltro att koppla in AI-anläggningar snabbare. Alliansen fokuserar på prestanda snarare än specifik teknik, och sätter klara regler för hur datacenter ska bete sig vid elnätsstörningar och nödsituationer.
16 sep. blogs.nvidia.com
BloggOpenRouter
OpenRouter har gjort det möjligt att redigera bilder med textinstruktioner genom sitt API. Du skickar en källbild och en textbeskrivning av vad du vill ändra i en enda förfrågan, och får tillbaka den redigerade bilden. Guiden visar hur du gör detta i Python och TypeScript, och förklarar att du enkelt kan byta till en annan redigeringsmodell genom att ändra ett fält i koden. Du kan också göra flera ändringar i följd genom att skicka tillbaka varje resultat som ny källbild.
9 sep. openrouter.ai