May 2 · 9 min read · Google released gemini-3.1-flash-tts-preview in April 2026 as part of its Gemini 3.1 wave. Unlike the earlier 2.5-series TTS models, this one ships with a 200-tag expressive control system, native multi-speaker dialogue support, and pricing that posi...
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May 2 · 3 min read · Not every AI task needs a frontier model. Gemini 3.1 Flash exists for the 80% of tasks where speed and cost matter more than maximum quality. At $0.075 per million input tokens, it's practically free — and for many tasks, the output is good enough. ...
Join discussionMay 2 · 6 min read · The phrase "vibe coding" used to be a joke. Now it's a legitimate development methodology. And Gemini Canvas might be the best tool for it in 2026. Gemini Canvas is Google's collaborative AI workspace that includes a live code preview feature. You de...
Join discussionMay 2 · 6 min read · While everyone's busy debating Claude vs ChatGPT, Google has been quietly shipping one of the most capable AI models in the world — and giving most of it away for free. Gemini 3.1 Pro, released in late January 2026, represents Google's most aggressiv...
Join discussionMay 2 · 11 min read · For the past two years, AI benchmark leaderboards have been a revolving door — models leap ahead, get surpassed within weeks, and the whole cycle repeats. Gemini 3 Deep Think just did something different: it set records on the hardest reasoning bench...
Join discussionMay 2 · 9 min read · Google launched Veo 3.1 Lite on March 31, 2026 — its most cost-effective AI video model, available directly through the Gemini API. For developers building video applications at scale, this is a significant unlock: Veo 3.1 Lite generates 720p and 108...
Join discussionMay 2 · 9 min read · Gemini 3.1 Flash-Lite is Google’s cheapest production-grade AI model as of April 2026, priced at $0.25 per million input tokens and $1.50 per million output tokens — making it one-eighth the cost of Gemini 3.1 Pro and significantly cheaper than Claud...
Join discussionMay 2 · 10 min read · Google DeepMind released Gemma 4 on April 2, 2026, and two things make it immediately significant: Apache 2.0 licensing and hardware efficiency that no competitor at this capability level matches. Gemma 4’s 31B Dense model ranks third globally among ...
Join discussionMay 2 · 10 min read · The key-value cache is the most expensive part of running a large language model — and until now, nobody had solved it without sacrificing accuracy. At ICLR 2026, Google Research published TurboQuant: a two-stage compression algorithm that reduces KV...
Join discussionMay 2 · 9 min read · On March 31, 2026, Google Research released TimesFM 2.5 — a 200-million-parameter zero-shot time series forecasting foundation model that delivers production-ready predictions without any domain-specific training. Pre-trained on 400 billion real-worl...
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