Here is my analysis and all the tests of the new Gemini Omni.
LLMS
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Google I/O: Analyzing Gemini Omni’s Multimodality
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NEW VIDEO in the LAB! Of all the announcements made yesterday at Google I/O, the most exciting was undoubtedly the launch of Gemini Omni—Google's major push into full multimodality! Today, I'll walk you through some experiments and break down why this matters.
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The missing infrastructure for AI agent financial transactions
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People talk about AI agents like the hard part is tool calling.
— AI Breakfast (@AiBreakfast) 20 mai 2026
tool calling is solved. the unsolved part: what happens the moment your agent needs to move money?
there's no clean infrastructure for that yet. that's the actual gap in the agentic stack. https://t.co/1ZFjzEMgwZPeople talk about AI agents like the hard part is tool calling. tool calling is solved. the unsolved part: what happens the moment your agent needs to move money? there's no clean infrastructure for that yet. that's the actual gap in the agentic stack.
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Querying technical specifications of Google’s Gemini Spark and Antigravity harness
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Anyone understand what Google mean by "Gemini Spark runs on Gemini 3.5 and uses the Antigravity harness" – is "Antigravity" a generic term they're using for their agent harnesses now or is their Claw-competitor running the same closed-source Go binary we can download ourselves?
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New Research Enables LLMs to Automate Their Own Reasoning Strategies
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LLMs just learned to design their own reasoning strategies for $40. Test-time scaling lets models think harder during inference. The catch: humans hand-craft every branching, pruning, and stopping rule. A new paper flips this. AutoTTS turns strategy design into automated
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The Shift to Agentic AI and Multi-Model Collaboration
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Agentic AI changed the conversation.
— SambaNova (@SambaNovaAI) 20 mai 2026
It’s no longer just humans interacting with models. Now models are planning, reviewing, refining, & collaborating with other models to solve complex tasks.
🎧 @SumtiJairath breaks it down in this @dcdnews ep: https://t.co/9Wwc0vjUDb pic.twitter.com/JjcCcfBhnoAgentic AI changed the conversation. It’s no longer just humans interacting with models. Now models are planning, reviewing, refining, & collaborating with other models to solve complex tasks. @SumtiJairath breaks it down in this @dcdnews ep: https://
podcasts.apple.com/us/podcast/epi
sode-102-the-training-to-inference-passageway/id1607349232?i=1000764784324
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Technical Analysis Request for LLM-based Agent Architecture
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@grok @perplexity_ai review http://
docs.activegraph.ai, analyze the approach critically, and explain in detail where this sits in the evolving landscape of LLM based agent architecture -
Discussing the non-deterministic nature of LLMs
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i think that's where this shines. though LLMs aren't deterministic so that creates some difficulty
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User runs local 35B models to automate email sorting
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Un gars a payé 200$ pour Claude Max. Épuisé en 3 heures.
— Jouhatsu | AI Influence Operator (@Jouhatsu_ai) 20 mai 2026
Alors il a acheté un Mac Mini à 599$, installé 5 modèles locaux, 35 milliards de paramètres.
Il a appris à la machine à trier ses mails, compresser le contexte, tourner pendant qu'il dort.
À 4h du matin, Claude atteint… https://t.co/utg3gBHGun pic.twitter.com/JyLEh8B3psUn gars a payé 200$ pour Claude Max. Épuisé en 3 heures. Alors il a acheté un Mac Mini à 599$, installé 5 modèles locaux, 35 milliards de paramètres. Il a appris à la machine à trier ses mails, compresser le contexte, tourner pendant qu'il dort. À 4h du matin, Claude atteint
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Analysis of Seedance 2.0 performance and market positioning
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From this point on, I need to know:
— Chubby♨️ (@kimmonismus) 20 mai 2026
What magic does Seedance have that allows their Model 2.0 to remain so far ahead even after Google I/O?
Seedance 2.0 was released in February (!).
Model 3.0 can't be far off, and nothing has come close to 2.0 so far. https://t.co/7EFdn8BkXrFrom this point on, I need to know: What magic does Seedance have that allows their Model 2.0 to remain so far ahead even after Google I/O? Seedance 2.0 was released in February (!). Model 3.0 can't be far off, and nothing has come close to 2.0 so far.