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Good morning. It’s Friday, February 27th.
On this day in tech history: In 1996, Silicon Graphics bought Cray Research for $767 million, merging graphics supercomputers with Seymour Cray’s vector and MPP architectures. Those high-performance machines powered the simulations that proved scaling laws long before “scaling laws” was a phrase. Their lineage lives on in every GPU cluster chasing exaFLOPS for frontier model training, pure HPC DNA of modern AI.
In today’s email:
Google collapses the cost of enterprise AI with Nano Banana 2
Perplexity Computer bundles rival models into $200 agentic workflow system
5 New AI Tools
Latest AI Research Papers
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Today’s trending AI news stories
Google collapses the cost of enterprise AI with Nano Banana 2
Google DeepMind has released Nano Banana 2, to solve the production cost problem that has historically limited AI image adoption in professional pipelines. By porting Pro-tier reasoning to the Gemini 3.1 Flash backbone, Google is matching enterprise-grade rendering requirements while significantly undercutting previous pricing.
Cost Efficiency: API pricing is slashed by 25–50%. Standard 1K images now cost $0.067 (vs. $0.134 for Pro), while 4K outputs are $0.151, nearly 40% cheaper than the Pro tier.
Technical Specs: Supports 512px to 4K resolutions and multiple aspect ratios with high-fidelity text rendering and localized in-image translation.
Consistency and Provenance: Maintains resemblance for up to 5 characters and 14 reference objects. Ships with SynthID watermarking and C2PA metadata compliance for regulated industries.
This removes the proof-of-concept bottleneck. High-volume workflows like localized marketing and e-commerce asset generation are finally economically viable at scale.
The redesigned Flow studio now unifies Nano Banana with the Veo video generator, while Google Stitch introduces Direct Edits for granular UI design control.
Direct Edits: Designers can now manually override text and images or use a selection-based agent to surgically update specific screen regions via natural language.
Entry Points: Features a global toolbar, contextual dropdowns, and double-click gestures to trigger an edit mode for AI-generated designs.
Creative Workflow: High-fidelity images now serve as direct seeds for video animation, with tools like text-based lassos for localized video editing.
Professional work requires the ability to fix a specific typo or icon without rerolling the entire AI generation. This hybrid workflow brings order to the "vibe design" chaos.
Meanwhile, in a move to dominate industrial automation and consumer hardware, Alphabet is folding its robotics subsidiary, Intrinsic, back into Google. This consolidation allows for deep integration between DeepMind’s reasoning models and physical hardware systems.
Flowstate and Aletheia: Pairs Gemini 3 reasoning with the Flowstate environment to let robots handle complex industrial tasks, like EV battery assembly, without deep programming. This logic was validated by the Aletheia agent, which recently solved 6 of 10 research-level problems in the FirstProof challenge.
Next-Gen Android Intelligence: This agentic reasoning is landing on the Pixel 10 and Galaxy S26. Gemini can now execute multi-step tasks across third-party apps, such as parsing group chats to prep food delivery orders or booking an Uber autonomously.
Advanced Circle to Search: The tool has been upgraded to deconstruct complex scenes, allowing for multi-object identification within a single search session. Read more.
Perplexity Computer bundles rival models into $200 agentic workflow system
Perplexity is evolving from a knowledge engine into an "action engine," aggregating rival intelligence into a single execution layer for complex, multi-stage projects. One might say this is a commercialized version of OpenClaw.
Perplexity Computer: A new $200/month "digital worker" available to Max subscribers. It orchestrates 19 different models (including Claude 4.6, GPT-5.2, and Gemini) to research, code, design, and deploy projects autonomously.
Agentic Orchestration: The system deploys specialized sub-agents into secure, sandboxed environments with independent file systems and browser access to execute tasks like API calls and document creation without manual intervention.
pplx-embed Models: Perplexity released pplx-embed-v1 and pplx-embed-context-v1 (0.6B and 4B scales). These utilize diffusion-based pretraining for bidirectional context, setting a record 81.96 nDCG@10 on the ConTEB benchmark.
Web-Scale Efficiency: The new embedding models feature native quantization-aware training, supporting INT8 and Binary formats that reduce storage costs by up to 32x for web-scale retrieval without performance compromise.
Instruction-Free Integration: Unlike many competitors, these models require no instruction prefixes, simplifying their use as first-stage retrievers in RAG (Retrieval-Augmented Generation) pipelines. Read more.
Turn AI into Your Income Engine
Ready to transform artificial intelligence from a buzzword into your personal revenue generator
HubSpot’s groundbreaking guide "200+ AI-Powered Income Ideas" is your gateway to financial innovation in the digital age.
Inside you'll discover:
A curated collection of 200+ profitable opportunities spanning content creation, e-commerce, gaming, and emerging digital markets—each vetted for real-world potential
Step-by-step implementation guides designed for beginners, making AI accessible regardless of your technical background
Cutting-edge strategies aligned with current market trends, ensuring your ventures stay ahead of the curve
Download your guide today and unlock a future where artificial intelligence powers your success. Your next income stream is waiting.
5 new AI-powered tools from around the web
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