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Lovable.io just introduced a full platform transformation
Lovable.io just introduced a full platform transformation This update brings new tools stronger AI and a smarter workflow for developers founders and teams. Redesigned dashboard experience • Star projects you use frequently • Use folders to group apps by client team or category • Navigate faster with upgraded filters and global search • Discover community apps to learn or get inspired • Switch display modes between list and grid • Personalize with new dashboard themes • Use bulk actions to reorganize or transfer multiple projects in one step Start projects with conversation • Begin in Chat mode to refine ideas • Share requirements user flows and desired features before generation • Build with correctness and clarity from the beginning Powered by Claude Opus 4.5 • Major improvements to long context understanding • Deeper reasoning for multi step planning • Noticeably better UI design decisions and component choices • Around twenty percent fewer build errors • Higher consistency in code and project structure Improved domain management • Check DNS status instantly • Recover domains that fail verification • Reconnect domains that become offline or removed • Everything is now centralized for smoother deployments Cloud resource visibility • Alerts appear as you reach cloud instance limits • Detailed system usage is now visible for CPU disk and disk IO • Upgrade on time to maintain high performance Connectors Hub update • Integrations have been reorganized into a dedicated Connectors Hub • Clear grouping between shared workspace connectors and personal connectors • Support for Miro MCP which allows Lovable to read your diagrams • Enterprise support for unauthenticated custom MCP servers Enterprise level permissions and controls • Admins can restrict who can publish externally • Tool permission settings for personal connectors provide stronger governance Quality and performance upgrades • AI generated designs are more creative and more polished
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Lovable.io just introduced a full platform transformation
Google Cloud just released 101 real-world Gen AI use cases
The future of work is being built today. Google Cloud just released 101 real-world Gen AI use cases with technical blueprints, showing exactly how organizations are turning AI into operational impact. If you want to understand what’s possible with Gen AI in 2025 and how to implement it, this is the playbook. Link : https://cloud.google.com/blog/products/ai-machine-learning/real-world-gen-ai-use-cases-with-technical-blueprints
Google Cloud just released 101 real-world Gen AI use cases
AI model usage trends from September to December 2025
AI model usage trends from September to December 2025 show Gemini 2.5 Pro consistently leading the landscape, with strong adoption across Google, OpenAI, and emerging open-source models. AI model usage from Sep to Dec 2025. Gemini dominates. OpenAI and Qwen follow closely. Data-Driven A clear view of the AI model race: Gemini 2.5 Pro remains the top performer, with GPT-5 Mini and Gemini Flash models steadily shaping user preferences through the last quarter of 2025. For Social Media AI model popularity showdown. Gemini still on top, GPT-5 Mini strong, and open-source models gaining traction. The race is getting interesting as 2025 comes to a close.
AI model usage trends from September to December 2025
Google AI Studio Hackaton Dec 5-12
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Claude Opus 4.5 Reclaims Coding Crown with 67% Price Cut and Token Efficiency That Changes Everything
Anthropic just dropped Claude Opus 4.5, slashing prices from $15/$75 to $5/$25 per million tokens while beating GPT-5.1 Codex Max and Gemini 3 Pro on software engineering benchmarks. The kicker? It uses 50-76% fewer tokens to get the same results, making it cheaper and faster than competitors. What Happened: Claude Opus 4.5 scored 80.9% on SWE-bench Verified, outperforming GPT-5.1 Codex Max (77.9%), Gemini 3 Pro (76.2%), and its own Sonnet 4.5 (77.2%). It's the first Claude model with a new "effort" parameter that lets you dial reasoning depth up or down per API call, trading speed for thoroughness. At medium effort, it matches previous model performance using 76% fewer output tokens. At high effort, it exceeds accuracy by 4.3 points while still using 50% fewer tokens. The model scored higher than any human candidate on Anthropic's internal two-hour engineering assessment. Available now across Claude apps, API, AWS Bedrock, Azure, and Google Vertex with a 200K token context window. Long conversations no longer hit walls as Claude auto-summarizes earlier context. Claude Code gained Plan Mode, desktop availability, and multi-agent parallel sessions. Why This Matters for Agencies: - Cost Revolution: The 67% price cut plus token efficiency means 92% total cost reduction on large-scale tasks compared to previous Opus models. - Production Ready: What was a "boutique" model too expensive for workflows is now competitive with mid-tier pricing while delivering frontier performance. - Effort Control: Dial reasoning up for complex client deliverables, down for high-volume tasks, optimizing cost vs quality per use case. - Coding Dominance: Best-in-class software engineering scores make it the go-to for code generation, migration, and autonomous development workflows. Bottom Line: Opus 4.5 repositions frontier AI from premium luxury to production workhorse. Test it against your current model on complex coding tasks this week to quantify the token savings and quality improvement.
 Claude Opus 4.5 Reclaims Coding Crown with 67% Price Cut and Token Efficiency That Changes Everything
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