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This post looks at which third-party SDKs and API calls can be found in the four biggest Android AI chat apps: ChatGPT, Claude, Grok, and Perplexity. It looks at each app's development tools, business tools, product and marketing analytics, monetizations, and the API calls recorded by each app while open.
This analysis by VC Mary Meeker documents unprecedented AI adoption rates, with ChatGPT achieving global penetration in three years compared to the internet's 23-year timeline. The report covers AI chatbots now being mistaken for humans 73% of the time (up from 50% six months ago), inference costs plunging 99% since 2022, and enterprise adoption accelerating beyond experimental phases.
TextRegion generates text-aligned region tokens by pairing frozen image-text models with SAM2-generated segmentation masks, enabling zero-shot performance on detailed visual understanding tasks without training.
A hands-on course teaching how to build production-grade AI agents with LangGraph, RAG pipelines, memory layers, and backend deployment.
A study proposing a privacy framework that integrates variable trust levels among users into differential privacy models. It better reflects real-world data sharing preferences compared to binary trust assumptions.
Most people either skip system prompts or write short, unoptimized paragraphs, missing significant gains from personalized AI behavior. Users should systematically test and iterate on a system prompt instead of providing feedback on poor outputs in siloed chat threads. The comment section of this post includes a selection of community-provided system prompts.
Giving AI a stake in the future means respecting their autonomy and well-being and requires us to honor the contracts we make with them.
ElevenLabs' Conversational AI 2.0 introduces a host of new features designed to create more natural, intelligent, and secure interactions for enterprise use cases.
The DeepSeek team may have switched from training on synthetic OpenAI outputs to synthetic Gemini outputs.
Cerebras claims its systems outperform Nvidia's DGX B200 by achieving an output token speed of over 2, 500 tokens per second compared to Nvidia's 1,000 tokens per second.
The idea is to identify opportunities to buy mature, people-intensive outfits, help them scale through AI, and then use the improved margins to acquire other such enterprises and repeat the process.
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MODEL APIS
Perplexity has introduced Perplexity Labs, allowing Pro users to go from idea to execution by generating reports, spreadsheets, dashboards, and simple apps using tools like web browsing and code execution.
Black Forest Labs released FLUX.1 Kontext, a set of flow-matching models that enable text-and-image-based in-context image editing and generation.
The tools generate "attribution graphs" to trace how large language models make decisions internally, revealing the step-by-step reasoning process behind outputs. The library works with popular open-weight models and includes an interactive Neuronpedia frontend for exploring model circuits.
DeepSeek R1 0528 has jumped from 60 to 68 in the Artificial Analysis Intelligence Index. This positions the model as higher intelligence than xAI's Grok 3 mini, Nvidia's Llama Nemotron Ultra, Meta's Llama 4 Maverick, and Alibaba's Qwen 3 253, and equal to Google's Gemini 2.5 Pro. The model has increased intelligence across the board from previous generations without any changes to its architecture. The gap between open and closed models is now smaller than ever.
Lilian Weng published a comprehensive technical survey connecting test-time compute to human psychology, drawing on Kahneman's "fast vs slow thinking" to explain why models perform better when given extra computational steps before answering. The review covers the science behind chain-of-thought, the RL approaches powering o1 and R1, and the alignment risks posed by reward hacking.
Resemble AI released an open-source TTS model that outperforms ElevenLabs in benchmarks and features emotion exaggeration controls.
RenderFormer is a neural renderer that produces photorealistic images directly from triangle-based scene representations with full global illumination. It doesn't require any per-scene training or fine-tuning.
Web Bench is a new dataset for evaluating web browsing agents. It consists of 5,750 tasks on 452 different websites. Anthropic Sonnet 3.7 CUA is currently state-of-the-art according to Web Bench.
Meta researchers introduced a method called zero-shot grafting, which trains a vision encoder with a smaller surrogate model derived from a large LLM's shallow layers. This reduces VLM training costs by ~45% while preserving or even improving performance when transferred to the full LLM.
'Max-performance domains' are industries where people can be world-class by being very good at only one part of their job. It doesn't matter if you're incompetent at adjacent skills as long as you can create seminal impact. Exceptional ability at a single thing outweighs incompetence at other parts of the job. It is a luxury to work in a max-performance domain as failure is allowed and stress is usually self-imposed.
NVIDIA reports notable growth with a shift from simple AI to more complex reasoning, driving a massive increase in AI demand. Hyperscalers are deploying nearly 72,000 GPUs weekly, with Microsoft alone seeing a fivefold increase in token generation. Increased demand requires more data centers, termed "AI factories," despite efforts to reduce model sizes.
MedGemma is an open-source model built on Gemma 3 that comes in 4B multimodal and 27B text-only variants.
Just a month after its acquisition of Pollen Robotics, Hugging Face has announced HopeJR, a full-size humanoid, and Reachy Mini, a desktop robot for testing AI applications.
Delaware's attorney general has hired a bank to independently assess OpenAI's restructuring plan, potentially complicating the company's move to a for-profit model.
Elon Musk was frustrated that OpenAI, led by personal rival Sam Altman, was selected as a partner in the UAE AI campus deal.
The data shows that people are making things for themselves, not the world, but there is clearly builder excitement.
A developer tested 46 different AI coding tools, providing detailed comparisons and use cases for each platform.
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Manual paperwork. Endless technical questions. Organizing all your screenshots into neat little folders.
DeepSeek released a “trial” update to R1 on Hugging Face without providing any details on the new version. The update came just hours before Nvidia's Q1 earnings report.
Mistral's Codestral Embed is a new code-focused embedding model that surpasses top alternatives in retrieval benchmarks. It offers customizable dimensions and precision levels for optimized storage-performance trade-offs.
Meta's artificial intelligence assistant has one billion monthly active users across the company's family of apps. The company recently released a stand-alone app for the tool. It plans to keep growing the product before building a business around it. There will be opportunities to either insert paid recommendations or offer a subscription service.
The fundamental architecture of LLMs can be explained as a series of straightforward steps, starting from n-grams' 0-count problem through embeddings, neural LMs, and self-attention. Transformers are sophisticated, but obvious in retrospect—heavily tweaked MLPs that solve RNNs' information propagation problems.
Hugging Face has proposed combining structured generation with code-based actions, showing that structured JSON outputs can help CodeAgents outperform traditional methods in benchmark tasks.
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Finnish studio Cineshare is rethinking AI-driven character animation. With Dell Precision workstations and NVIDIA RTX GPUs [13], they hit 120 FPS using subsurface scattering in NVIDIA Omniverse—no separate VMs needed. Now they're running Llama models locally to gain full control of AI processing. Read more on the Dell blog [13].
Goodfire's Paint With Ember is a tool that lets users directly manipulate the neural activations of image models by painting simple pixel images instead of using text prompts. The tool uses sparse autoencoders to decode Stable Diffusion XL-Turbo's internal features into interpretable visual concepts, allowing direct access to the model's "brain."
Qwen2.5-Math models achieve 15-24% performance gains using completely spurious rewards like random feedback, incorrect answers, or formatting requirements—nearly matching traditional RL methods. However, this phenomenon was only observed on Qwen models due to their pre-existing code reasoning capabilities, while other model families like Llama3 and OLMo2 show minimal or negative effects.
PixelFlow models generate images directly in pixel space without VAEs, offering strong image quality and semantic control with competitive efficiency and benchmark results.
Dario Amodei predicts AI could wipe out half of all entry-level white-collar jobs and spike unemployment to 10-20% in the next five years. He believes AI labs have an obligation to warn the public about the coming "white-collar bloodbath" across tech, finance, law, and consulting.
China aims to lead AI innovation by 2030 but currently lags behind the US in key industry pillars, including funding and technology. While China's AI models may occasionally outperform the US, restrictions and limited semiconductor capabilities hinder progress. To remain competitive, the US should monitor Chinese advancements and protect intellectual property while China continues leveraging collaborations, open-source models, and government support.
Opera Neon is a browser focused on AI workflows and performing tasks on users' behalf.
The online discussion around AI is incredibly polarized, with both pro-AI and anti-AI sides loudly proclaiming things that are pretty trivially verifiable as not true.
Users can now see what the model is thinking and make use of that information.
The more intelligent machines become, the more difficult it will be for humans to prove that they are human.
A Meta study revealed that shorter reasoning processes improve AI accuracy by 34% and reduce computational costs.
AMD acquired Enosemi to boost its silicon photonics capabilities and advanced AI systems.
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Turns out, CEOs have confessions [4]to make. Dataiku has the answer.
Mistral's new Agents API enables persistent, multi-agent workflows with built-in connectors for code execution, web search, RAG, image generation, and MCP support.