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Exclusive: Supabase Execs Were So Impressed With Dreambase, They Became Investors In Its $3.7M Round
Dreambase, an AI-powered analytics platform that aims to help people build data-driven companies without hiring a data team, has raised $3.7 million in funding, it tells Crunchbase News exclusively.
Agent orchestration
When people say AI will speed up drug development or fear that it will bring about mass layoffs, what they have in mind—whether they know it or not—are AI agents. ChatGPT made large language models a mass consumer product. But to change the world, AI needs to do more than just talk back: It needs…
Exclusive: Juno, CPA-Founded Startup That Aims To Make Tax Returns Less Painful With AI, Raises $12M
AI tax prep automation startup Juno, founded to address the opportunities — and risks — that come with advances in AI, and built for underserved SMB accounting firms, says it has received a $12 million seed investment.
[AINews] NVIDIA GTC: Jensen goes hard on OpenClaw, Vera CPU, and announces $1T sales backlog in 2027
a quiet day lets us reflect on NVIDIA GTC 2026
[AINews] Context Drought
a quiet day lets us reflect on Anthropic's belated GA of 1M context windows after Gemini and OpenAI.
[AINews] Autoresearch: Sparks of Recursive Self Improvement
AGI takes another small step forward.
Perplexity’s new Computer is another bet that users need many AI models
Perplexity Computer, in the company’s words, "unifies every current AI capability into a single system."
[AINews] Nano Banana 2 aka Gemini 3.1 Flash Image Preview: the new SOTA Imagegen model
The first Gemini 3.1 model is here....
[AINews] WTF Happened in December 2025?
A quiet day lets us express a growing, uneasy feeling that coding has changed forever — much much more than “normal” hype.
[AINews] Claude Sonnet 4.6: clean upgrade of 4.5, mostly better with some caveats
Anthropic notches another W.
The Scientist and the Simulator
LLMs (alone) won’t cure cancer
[AINews] ElevenLabs $500m Series D at $11B, Cerebras $1B Series H at $23B, Vibe Coding -> Agentic Engineering
SOTA Audio models, Fast Chips, and Koding Agents are all you need.
Wikimedia Foundation announces new AI partnerships with Amazon, Meta, Microsoft, Perplexity and others
The AI partnerships allow companies to access the org's content, like Wikipedia, at scale.
Perplexity: Sonar Pro Search (perplexity/sonar-pro-search)
Exclusively available on the OpenRouter API, Sonar Pro's new Pro Search mode is Perplexity's most advanced agentic search system. It is designed for deeper reasoning and analysis. Pricing is based on tokens plus $18 per thousand requests. This model powers the Pro Search mode on the Perplexity platform. Sonar Pro Search adds autonomous, multi-step reasoning to Sonar Pro. So, instead of just one query + synthesis, it plans and executes entire research workflows using tools.
Cline: The Open Source Code Agent — with Saoud Rizwan and Nik Pash
On the heels of their $32m Series A: Why fast apply models got bitter lesson'd, pioneering the plan + act paradigm for coding, and why people are use coding agents for non-coding tasks
Perplexity: Sonar Reasoning Pro (perplexity/sonar-reasoning-pro)
Note: Sonar Pro pricing includes Perplexity search pricing. See details here Sonar Reasoning Pro is a premier reasoning model powered by DeepSeek R1 with Chain of Thought (CoT). Designed for advanced use cases, it supports in-depth, multi-step queries with a larger context window and can surface more citations per search, enabling more comprehensive and extensible responses.
Perplexity: Sonar Pro (perplexity/sonar-pro)
Note: Sonar Pro pricing includes Perplexity search pricing. See details here For enterprises seeking more advanced capabilities, the Sonar Pro API can handle in-depth, multi-step queries with added extensibility, like double the number of citations per search as Sonar on average. Plus, with a larger context window, it can handle longer and more nuanced searches and follow-up questions.
Perplexity: Sonar Deep Research (perplexity/sonar-deep-research)
Sonar Deep Research is a research-focused model designed for multi-step retrieval, synthesis, and reasoning across complex topics. It autonomously searches, reads, and evaluates sources, refining its approach as it gathers information. This enables comprehensive report generation across domains like finance, technology, health, and current events. Notes on Pricing ( Source ) - Input tokens comprise of Prompt tokens (user prompt) + Citation tokens (these are processed tokens from running searches) - Deep Research runs multiple searches to conduct exhaustive research. Searches are priced at $5/1000 searches. A request that does 30 searches will cost $0.15 in this step. - Reasoning is a distinct step in Deep Research since it does extensive automated reasoning through all the material it gathers during its research phase. Reasoning tokens here are a bit different than the CoTs in the answer - these are tokens that we use to reason through the research material prior to generating the outputs via the CoTs. Reasoning tokens are priced at $3/1M tokens
Perplexity: R1 1776 (perplexity/r1-1776)
R1 1776 is a version of DeepSeek-R1 that has been post-trained to remove censorship constraints related to topics restricted by the Chinese government. The model retains its original reasoning capabilities while providing direct responses to a wider range of queries. R1 1776 is an offline chat model that does not use the perplexity search subsystem. The model was tested on a multilingual dataset of over 1,000 examples covering sensitive topics to measure its likelihood of refusal or overly filtered responses. Evaluation Results Its performance on math and reasoning benchmarks remains similar to the base R1 model. Reasoning Performance Read more on the Blog Post
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