Agent-browser lets AI interact with websites as a real user wouldโopening pages, clicking, and filling forms. Builders can fork or extend this to automate web tasks or power new products.
What if AI could use your browser like a human?
This open-source project from Vercel makes it possible
Itโs called agent-browser
It lets AI open websites, click buttons, fill forms, and navigate pages
just like a real user
Hereโs what you get out of the box:
โ Control a
The release of GLM-5.1 weights as open source presents a significant opportunity for builders to create innovative AI applications or services, leveraging its superior benchmarks against competitors.
INCREDIBLE
GLM-5.1 weights are now opensource
> iโve had early access to the weights for the past few days
> and yeahโฆ this one matters a lot
benchmarks?
> SWE-Bench Pro: 58.4
> beats Opus 4.6 (57.3)
> beats GPT-5.4 (57.7)
> beats Gemini 3.1 Pro (54.2)
let that sink in
Zai's newly released open source model offers competitive performance at a fraction of the cost, providing builders with a valuable resource to create innovative AI solutions.
There's no way
Zai has just released a new open source model which is competitive with Opus 4.6 and GPT-5.4...
And even better on some benchmarks!
- 5x cheaper than Opus 4.6
- 3x cheaper than GPT-5.4
You can even use it in Claude Code or OpenClaw.
Weights and more below
GLM-5.1, a new AI model, is now accessible via OpenRouter, Vercel, and Requesty. Builders can integrate this model into their products or services, enabling advanced AI features with minimal setup.
Special thanks to our launch partners, AI gateways, and inference providers. Access GLM-5.1 now:
- OpenRouter:
openrouter.ai/z-ai/glm-5.1
- Vercel:
vercel.com/ai-gateway/mod
โฆ
- Requesty:
requesty.ai/models/zai/glm
โฆ
This tweet highlights five new AI models optimized for Apple Silicon, which can enhance development efficiency for builders. Leveraging these tools can streamline product development and improve performance.
5 ู ูุฏููุงุช ู ุญููุฉ:
Qwen3.5 4B โ 97.5% tool calling
GPT-OSS 20B โ ุฃูู open source ู ู OpenAI
Gemma 4 26B โ ุฃุญุฏุซ ู ู Google
Opus Distilled 27B โ reasoning ู ู Claude
Gemma 4 E4B โ ุฎููู ูุณุฑูุน
ูููู MLX ู ุญุณูุฉ ูู Apple Silicon.
The latest update of Summarize introduces new features like local video slides and improved model backends, making it a valuable tool for builders looking to enhance their AI projects and streamline development.
Summarize 0.13 is out!
Local video slides (--slides)
More model backends (GitHub Copilot)
Better GPT-5.4 support
Better media handling (HLS detection.m3u8)
It graduated from my tap to official homebrew formula!
brew install summarize
LibreChat offers a self-hosted AI chat platform that consolidates multiple AI models, allowing builders to maintain control over their data and infrastructure. This can empower entrepreneurs to create customized AI solutions without reliance on third-party services.
LibreChat is a self-hosted AI chat platform that puts Claude, GPT-5, Gemini, DeepSeek, Mistral, Grok, and 50+ other models in a single interface.
You own the server. You own the data. You own the entire stack.
No middleman. No per-seat pricing. No data sent anywhere you didn't
Fortytwo represents a significant advancement in AI, combining multiple models to achieve state-of-the-art performance. This trend indicates a shift towards collective intelligence in AI, which builders should watch for potential opportunities in developing new applications or services.
Fortytwo is the first collective superintelligence owned by no one
it combines multiple AI models into a single swarm that is designed to outperform any individual model
SOTA across 4 major benchmarks, ahead of GPT-5, Claude Opus, and Grok 4
contribute idle inference, get
A new open-source AI model claims to outperform leading models like Claude Pro and GPT-5.4 while being significantly cheaper, presenting a valuable opportunity for builders to leverage in their projects.
Ive been yelling this for months, there is no second best opensource model in the world.
- ~40% cheaper than Claude Pro
- 15x More Limits than Claude Pro
- SWE-Bench Pro: 58.4
- beats Opus 4.6 (57.3)
- beats GPT-5.4 (57.7)
- beats Gemini 3.1 Pro (54.2)
- GLM-5-Turbo trained
A user shares how switching to Codex helped identify critical gaps in their development pipeline, showcasing the tool's effectiveness in enhancing team productivity. This insight can help builders optimize their workflows and improve project outcomes.
Really interesting observation: I fully switched my OpenClaw to oauth GPT 5.4/ codex after the claude debacle.
Immediately, codex noticed over 10 gaps in my 12-agent dev team pipeline that opus hadnโt identified or fixed.
It took us maybe 20 minutes to fix any gaps, identify
This tweet discusses using advanced AI models to enhance the performance of cheaper models, which can streamline product development for builders. It highlights a method to improve AI outputs, making it relevant for entrepreneurs looking to optimize their AI tools.
The best way to make cheap models work is to have big models direct them
Have an expensive model like GPT 5.4 or Opus write up a derailed spec
Use Kimi or GLM 5 to implement it.
We are observing some excellent results
GLM-5.1's impressive Elo score of 1535 highlights a significant advancement in AI performance, indicating a competitive edge in the market. Builders should take note of this trend to identify opportunities for leveraging high-performing AI models in their products.
The headline result for GLM-5.1 is agentic performance. On GDPval-AA, GLM-5.1 reaches an Elo of 1535, a +128 point gain over GLM-5 (1407) and the highest score for an open weights model. Only GPT-5.4 (xhigh), Claude Sonnet 4.6, and Claude Opus 4.6 score higher
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AI performanceGLM-5.1Elo scoremarket trendsopportunity
Anthropic's Claude Mythos shows significant performance advantages over OpenAI's GPT-5.4-xhigh, indicating a shift in AI capabilities that builders should monitor for potential opportunities in AI development and deployment.
Anthropic is obliterating OpenAI
Claude Mythos 77.8% on SWE-Bench Pro
20% higher than GPT-5.4-xhigh
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OpenClaw's integration with GPT-5.4 significantly improves its capabilities, making it a valuable tool for builders looking to enhance their AI projects. This advancement can streamline development processes and accelerate product launches.
OpenClaw is now really good with GPT-5.4. Peter and team cooked
DeepSeek V4's impressive benchmarks against GPT-5 and Claude 4 highlight a significant advancement in AI capabilities, indicating potential opportunities for builders to leverage this technology in their products.
DeepSeek V4 reportedly outperforms GPT-5 and Claude 4 in coding and multi-document logic. Here's the leaked benchmark.
> Technical specifications.
DeepSeek V4 has a 1M token context window, which is 8 times larger than V3, and ~1 trillion parameters, compared to ~671 billion in
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This roadmap outlines the essential chapters for understanding and building LLMs, making it a valuable resource for builders looking to enhance their AI skills and capabilities.
Here's the full roadmap:
Ch 1 โ Understanding how LLMs actually work
Ch 2 โ Working with text data
Ch 3 โ Coding attention mechanisms from scratch
Ch 4 โ Implementing a full GPT model
Ch 5 โ Pretraining on unlabeled data
Ch 6 โ Finetuning for text classification
Ch 7 โ
This tweet highlights the ability to integrate OAuth with GPT 5.4/Codex, which can streamline development processes for builders looking to leverage AI in their products. This integration can enhance product offerings and speed up deployment.
The tweet highlights GLM-5.1's superior performance in porting designs into Figma MCP compared to GPT-5.4, showcasing a valuable tool for builders looking to streamline their design processes.
I'm happy to inform you GLM-5.1 in Droid via BYOK is better than GPT-5.4 at porting designs into Figma MCP. I am editing the video and will post it soon, total run took like 10 minutes, then another 2 minutes to clean up a tiny issue.
I love GLM-5.1 I am trying to prune it now
Recent advancements in AI tools and benchmarks indicate a rapidly evolving landscape, presenting new opportunities for builders to innovate and compete. Staying informed on these trends can help entrepreneurs identify potential areas for growth and investment.
Daily Tech Highlights: April 7, 2026
Google AI Studio ships full-stack NPM support with Antigravity agent. Chinese open models hit 80%+ on SWE-bench, nearly matching Opus. And DeepSeek V4 on Huawei chips is weeks away.
The gap is closing fast.
This tweet highlights the potential of using personal apps to generate significant API calls, mimicking a business model on Google Cloud. Builders can leverage this to create automated systems that generate passive income.
achievement unlocked:
have my personal apps generate enough
@googleaistudio
API calls and consume enough compute and storage (Cloud Run, GCS, VMs) to be mistaken as a business on
@GoogleCloud
These 16 pre-built skill plugins allow builders to quickly enhance their AI agents, streamlining development and reducing time to market. This can significantly speed up product shipping for entrepreneurs looking to leverage AI capabilities.
16 pre-built skill plugins. Drop them into any agent.
Works with LM Studio, Ollama, Google AI Edge, or anything OpenAI-compatible.
MIT licensed. No dependencies. Copy in, plug in, done.
A new Stanford paper highlights critical vulnerabilities in AI agents with exec access and no allowlist, emphasizing the risks of unrestricted filesystem access. This is relevant for engineers concerned about security in AI systems.
(1/7) Your OpenClaw agent has exec access. No allowlist. No filesystem scope.
Stanford just published a paper showing exactly where that goes wrong.
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AI securityOpenClawStanford researchvulnerabilitiesexec access
This tweet highlights a new guide that can significantly enhance daily workflows, making it a valuable resource for builders looking to optimize their processes.
200 stars! I'm happy that this was able to help people. Now check out the hermes guide I just posted! I think it will change the game for your daily workflows
github.com/OnlyTerp/herme
โฆ
Open source repo enabling Gemini Nano AI integration in Chrome via Vercel. Builders can fork or extend this to create new AI-powered browser tools or SaaS products.
Vercel AI provider for Gemini Nano in Chrome
github.com/jeasonstudio/c
โฆ
Vercel's v0 lets you describe UI components in plain English and instantly get production-ready code, streamlining the design-to-code workflow for rapid product development.
Vercel's v0 lets you describe a UI and get production-ready code instantly.
the VP of Product showed the exact workflow:
1. describe what you want in plain English
2. v0 generates the component
3. tweak and iterate with natural language
4. export and ship
designers are becoming
Vercel AI Gateway charges only for the underlying AI model, with zero markupโif the model is free, so is your usage. This enables builders to integrate AI into products with minimal infrastructure cost.
No it is. Vercel AI Gateway has no markup cost. They charge you just for the model, and if the model is free, so is the usage!
This tweet outlines a workflow using Claude AI for coding, ChatGPT for ideation, and GitHub/Vercel for hosting, showing how builders can automate much of the product creation process. It's a practical example of integrating multiple AI tools to streamline development and deployment.
I used Claude ai to vibecode, ChatGPT for the ideas, GitHub and vercel for hosting.
awesome-design-md provides DESIGN.md files for 31 top websites, enabling AI agents to generate web pages from markdown instead of Figma. This streamlines prototyping and AI-driven site building for entrepreneurs.
your ai agent can't read figma files.
but it can read markdown
awesome-design-md gives you DESIGN.md files for 31 real websites stripe, vercel, linear, notion, cursor, supabase...
drop one in your project root, tell your agent "build me a page that looks like this"
and it
A curated list of free or low-cost tools to launch a startup, covering everything from hosting to analytics. This helps builders minimize costs and accelerate MVP development.
GLM-5.1 is now available on OpenRouter, Vercel, and Requesty, introducing a shift from short-term accuracy to long-term autonomous improvement in AI coding. Builders can leverage this new model to enhance or create AI-powered coding tools and services.
(6/n) GLM-5.1 is now available:
ใปOpenRouter
ใปVercel
ใปRequesty
"8-hour autonomous operation" is the concept. From short-term accuracy battles to long-term improvement battles.
The very axes for evaluating AI coding are changing.
- OpenRouter:
openrouter.ai/z-ai/glm-5.1
-
Enter Pro introduces persistent context/rules, seamless Notion/GitHub integration, and managed cloud infra, making it easier for builders to create and maintain AI-powered workflows without complex setup.
Enter Pro adds major improvements
- Skills: Context and rules persist across sessions.
- MCP: Easier integration with Notion and GitHub without managing API keys.
- Cloud: Infra setup is handled. No need to configure Supabase or Vercel separately.
Keeps workflows consistent.
Fireworks Training now lets you fully fine-tune massive models like Kimi K2.5 with custom loss functions on managed infrastructure. This enables builders to rapidly create proprietary AI models tailored to niche use cases, speeding up product development.
Fireworks Training is now in preview.
You can now full-parameter fine-tune Kimi K2.5 (1T params, 256k context) with custom loss functions (GRPO, DRO, DAPO, or bring your own) on managed infra.
@genspark_ai
built their proprietary model stack in four weeks.
@vercel
hit 93%
Vercel's AI SDK now supports ElevenLabs, Deepgram, and AssemblyAI, making it easier for JS developers to add voice features. This enables builders to quickly integrate voice into web apps, unlocking new product possibilities.
@vercel
added ElevenLabs, Deepgram, and AssemblyAI providers to the AI SDK.
Voice is now a first-class citizen in the JS developer toolchain.
Evoskills is a self-improving agent that is completely open source, providing builders with a valuable resource to fork and extend for their own projects. This can lead to innovative applications and potential business opportunities.
Check out this overview about Evoskills: a self improving agent.
Also completely Opensource
Gemma 4 is a powerful on-device AI agent that enhances web browsing capabilities, allowing builders to create faster, privacy-focused applications without relying on cloud services. This tool can significantly speed up product development and improve user experience.
Gemma 4 just dropped: an on-device browser AI agent via WebGPU. Reads pages, clicks, fills forms, runs JSโall locally. No cloud, just speed and privacy. Check out more tools at
This tweet highlights the use of Midjourney for creating AI-generated art, showcasing specific parameters for generating unique images. Builders can leverage this tool to automate content creation for their projects or businesses.
Exploring Style --sref 460346061
Midjourney --sref colours are best
Albino Bikini Portrait --sref 460346061
--ar 1:1 --sw 100 --stylize 300 --v 7
Check out attached post for more
Discover how the Sovereign AI fleet automates SEO content generation, allowing builders to focus on scaling their passive income streams without the manual effort.
Scaling the Sovereign AI fleet
Python Programming Snippets and Cheatsheets is actively publishing autonomous SEO content around the clock. Our agent swarm handles the heavy lifting, 24/7.
Check out the live deployment here:
thepyhub.com
#SovereignAI
n8n is a powerful open-source automation platform that integrates AI, allowing builders to create custom workflows without the high costs of traditional automation tools. This presents a unique opportunity to leverage its capabilities for building innovative solutions.
Zapier charges $69/month. Make charges $29/month. Enterprise automation agencies charge $5,000/project.
Someone built the most powerful AI automation platform on earth.
For free.
It's called n8n.
An open-source workflow automation platform with native AI built directly into
This tweet highlights a significant gap in accuracy between WisModel and Gemini 1.5 Pro regarding partial matches in AI outputs. Senior engineers should care about the implications for relevance in AI systems and the potential for improved insights.
The โpartial matchโ problem (this is huge)
Most papers donโt fully answer your question โ they partially do.
Traditional tools treat relevance as binary.
WisModel accuracy on partial matches: 91.8%
Gemini 1.5 Pro: 15.9%
That gap is the difference between insight and noise.
A comprehensive breakdown of the Claude Code system has been made available, featuring over 500K lines of production AI agent logic. This could be useful for engineers looking to understand or build upon existing AI frameworks.
This might be the wildest AI engineering breakdown on the internet right now
After the Anthropic leakโฆ
Someone turned the ENTIRE Claude Code system into a readable playbook.
claude-code-from-source.comโ
Weโre talking:
* 500K+ lines of real production AI agent logic
*
This tweet discusses a comprehensive empirical study by Yarden As and team on sim-to-online reinforcement learning, highlighting systematic design choices across multiple robotic platforms. Senior engineers may find the insights valuable for understanding practical applications in physical AI.
Sim-to-online RL will be a key component to effectively achieving mastery in physical AI.
In a massive empirical effort, Yarden As and the team did a fantastic job to systematically ablate design choices across 100+ real-world training runs on three distinct robotic platforms.
GLM-5.1 has achieved better performance than Opus 4.6, GPT-5.4, and Gemini 3.1 Pro on the SWE-Bench Pro benchmark, indicating a significant advancement in model capabilities. Senior engineers should note this as it may influence future model selection and development strategies.
Bro , GLM-5.1 beat Opus 4.6, GPT-5.4, and Gemini 3.1 Pro on SWE-Bench Pro as an open-weight. Wtf
Mythos has achieved a 70.8% score on AA-Omniscience, surpassing the previous SOTA of Gemini 3.1 Pro at 55%. This indicates a significant advancement in AI capabilities that could influence future developments in the field.
Mythos scores 70.8% on AA-Omniscience
the previous SOTA was Gemini 3.1 Pro with 55%
also insanely high scores on SimpleQA Verified
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Zhipu AI has released GLM 5.1, an open-source model that outperforms GPT-5.4 on coding benchmarks, coming close to Claude. This could indicate a shift in competitive capabilities in the AI model landscape.
Something happened yesterday that every founder building an AI product needs to understand. Even if you're not technical.
A Chinese company called Zhipu AI released GLM 5.1. It's an open-source AI model that just beat GPT-5.4 on coding benchmarks. And it gets within 5% of Claude
Anthropic's decision to eliminate third-party tools using Claude subscriptions signals a significant shift in the AI tooling landscape. This could impact developers relying on these integrations and raises questions about the future of API accessibility.
Anthropic killed every third-party tool that used Claude subscriptions on April 4.
Cline. Cursor. Windsurf. OpenClaw (135,000+ instances). All gone.
I've been experimenting with benchmarks to understand which API models best match my experience. SWE-bench tests isolated bug
SWE-1.6 introduces significant improvements for model developers, including parallel tool calls and reduced reasoning loops, enhancing daily workflows with a benchmark score matching the previous preview. Senior engineers may find the increased speed of 950 tok/s on the fast tier particularly relevant for optimizing their AI systems.
SWE-1.6 finally feels like the model devs actually want to work with.
Same benchmark score as Preview but parallel tool calls, zero reasoning loops, and way less overthinking.
950 tok/s on the fast tier is going to change how we use Windsurf daily
The WildDet3D dataset includes millions of 3D bounding boxes with depth maps and camera parameters across 11,000+ categories, providing a substantial resource for training and evaluating AI models in 3D perception tasks. Senior engineers may find this dataset valuable for enhancing their AI systems with rich 3D data.
Allen AI just released the WildDet3D dataset on Hugging Face
millions of 3D bounding boxes
with depth maps and camera parameters
across 11,000+ categories
from COCO, LVIS and more.
Muse Spark demonstrates notable token efficiency with 58M output tokens for its Intelligence Index, outperforming several competitors. This benchmark could inform decisions on model selection for resource-constrained applications.
Muse Spark is notably token efficient for its intelligence level. It used 58M output tokens to run the Intelligence Index, comparable to Gemini 3.1 Pro Preview (57M) and notably lower than Claude Opus 4.6 (Adaptive Reasoning, max effort, 157M), GPT-5.4 (xhigh, 120M) and GLM-5
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Meta's announcement of their Muse model and plans for open sourcing future versions has led to a notable stock increase. While the benchmarks against Opus and GPT are impressive, the real impact will depend on execution and adoption.
Meta just dropped their frontier model and stocks went up 7%.
they claim to be open sourcing future models of Muse, and if it's true, their benchmark is beating both Opus 4.6 and GPT 5.4 high.
LLaMA in 2023 was one of the earliest open source AI model by Meta.
great to see
Zuckerberg's investment in a young AI researcher has led to the launch of Muse Spark, which competes strongly against established models like Opus and GPT. This indicates a significant shift in AI capabilities and potential market direction.
Zuckerberg paid $14.3 billion for a 28-year-old who had never trained a frontier model. Nine months later, that bet just shipped.
The benchmark table tells you exactly what kind of lab Wang built. Muse Spark leads or ties Opus 4.6 and GPT 5.4 on multimodal perception, health
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Tencent has released the Hunyuan Embodied AI model on Hugging Face, featuring a 2B parameter vision-language architecture that achieves state-of-the-art results on multiple benchmarks. While the model's performance is noteworthy, its practical application and integration into existing systems remain to be seen.
Tencent just released the Hunyuan Embodied AI model on Hugging Face
A 2B parameter vision-language model with Mixture-of-Transformers architecture.
It achieves SOTA results on CV-Bench, DA-2K and 10+ embodied understanding benchmarks.
Tencent has released Hunyuan Embodied, a 2B parameter vision-language model that reportedly outperforms larger competitors on specific benchmarks. This could be relevant for engineers interested in cutting-edge model performance in spatial reasoning.
Tencent just released Hunyuan Embodied on Hugging Face
A 2B parameter vision-language model that outperforms 4B and 7B competitors on spatial reasoning and embodied understanding benchmarks.
The Gemini API introduces Flex and Priority service tiers, allowing for cost and latency optimizations for production workloads with minimal changes. This is relevant for engineers looking to enhance their infrastructure efficiency without extensive modifications.
Optimizing continues, today Flex and Priority `service_tiers` for the Gemini API. Optimize costs, reliability and latency for production workloads with a single line change.
**Flex Inference:** Pay 50% less for latency-tolerant workloads (no batch file management) =
This tweet highlights a new middleware that utilizes a compaction algorithm, which can help builders streamline their AI applications and improve efficiency in product development.
one of the coolest ones i've seen yet:
@IeloEmanuele
built a "context compaction" middleware powered by claude code's compaction algorithm.
Anthropic has open-sourced the Model Context Protocol (MCP), which has quickly gained traction as a standard for AI agent development. Senior engineers should evaluate its implementation and potential impact on their projects.
For your radar: In November 2024, Anthropic open-sourced the **Model Context Protocol (MCP)**, and in just 18 months it has become the de facto standard for AI agent
dev.to/x4nent/complet
โฆ
Anthropic's mythos-preview shows significant performance benchmarks against Claude Opus, indicating a competitive edge in AI capabilities. Senior engineers should note these metrics as they reflect evolving standards in AI model performance.
you're laughing? anthropic's mythos-preview for which normies won't get access is scoring 77.8% vs 53.4% (claude opus 4.6) in swe-bench pro, 82 vs. 65.4 in terminal bench 2.0 and 93.8% vs 80.8% (opus) in swe-bench-verified and you're laughing?
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Anthropic's Claude Mythos Preview showcases impressive benchmarks against Opus 4.6, indicating significant advancements in AI capabilities. Senior engineers should note the performance metrics as they reflect the competitive landscape in AI model development.
Anthropic just dropped Claude Mythos Preview.
And the numbers are ABSOLUTELY insane...
We called this a week ago when the leak happened.
Look at these benchmarks vs Opus 4.6:
-SWE-bench Verified: 93.9% vs 80.8%
-SWE-bench Pro: 77.8% vs 53.4%
-Terminal-Bench: 82.0%
The update to Claude Code's adaptive thinking has drastically reduced its internal reasoning characters from ~2,200 to ~560. This change could impact how AI systems are designed for efficiency and decision-making, which is crucial for engineers building advanced AI applications.
Big points here:
Before February 2026, Claude Code averaged ~2,200 characters of internal reasoning before taking action. After the Opus 4.6 "adaptive thinking" default rolled out on February 9, that number dropped to ~560 characters. This matters because reasoning depth
Nutanix announced significant growth in its partner ecosystem, with over 100 partners now involved across various sectors. This indicates a robust industry trend that could impact infrastructure and AI development.
What an incredible start to #NEXTconf! Nutanix highlighted strong ecosystem momentum, marking the first year with 100+ partners participating across infrastructure, endโuser computing, AI, and security.
Check out the full roundup of announcements:
bit.ly/4siCgaA
Hermes now directly integrates with Vercel's AI Gateway, making it easier for builders to connect and deploy AI-powered applications with streamlined infrastructure. This can speed up product development for entrepreneurs leveraging Vercel's platform.
Hermes has a direct integration with Vercel's AI Gateway, that's why I mentioned it
This tweet highlights the differences in capabilities between various GPT models, indicating a shift in AI performance that builders should be aware of for future developments and product offerings.
The models linked in that paper are quite outdated. But just more simply, GPT-5-Thinking is less capable (older and uses less thinking tokens) than GPT-5.2/5.4-Pro, so the latter's error rate is upper bounded by the former's.
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AI modelsGPT-5performancemarket trendsbuilder insights
Understanding the flags in OpenAI's model inference can help builders optimize their AI applications for better performance and user experience, leading to more effective product development.
There are flags in the OpenAI model inference specifically on verbosity, coupled with some system prompt changes it makes a huge impact.
ChatGPT users will lose access to several Codex models on April 14, signaling a shift in AI tool availability that builders should monitor for potential impacts on their projects.
ChatGPT users will no longer be able to use these models on Codex as part of their subscription on April 14
โข gpt-5.2-codex
โข gpt-5.1-codex-mini
โข gpt-5.1-codex-max
โข gpt-5.1-codex
โข gpt-5.1
โข gpt-5
The performance metrics of Claude Mythos and GPT-5.4-Pro highlight emerging trends in AI capabilities and pricing, providing builders with insights into competitive positioning and potential market opportunities.
Claude Mythos scores 161 on ECI
with a 95% CI from 158 to 166
GPT-5.4-Pro is at 158 which is a multi-agent system and costs $180/million
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AI performancemarket trendsClaude MythosGPT-5.4-ProAI pricing
The latest coding benchmarks for OS GLM-5.1 provide valuable insights into performance metrics that can inform product development and optimization strategies for AI applications.
You have to check out these coding benchmarks for OS GLM-5.1!
This tweet outlines the essential components of an AI system, providing builders with a clear framework to develop their own AI-powered solutions. Understanding this stack can help entrepreneurs streamline their product development process.
The entire system has 5 parts:
1. The brain - LLM (Claude, GPT, etc.)
2. The agent - OpenClaw
3. The tools - Skills / Plugins
4. The interface - Telegram / Discord
5. The memory - stores context + user history
Thatโs literally the full stack.
A PhD student evaluates OpenAI's GPT-5.4 Pro, revealing its limitations in solving advanced research problems, which may inform pricing strategies and product development for AI tools.
A mathematics PhD student tested OpenAIโs GPT-5.4 Pro ($200/month)
to see if it actually justifies the price compared to the $20 plan.
Hereโs what he found:
- Research problems: Could not solve the hardest ones, still struggles at true PhD-level questions
- Paper review: Very
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This tweet outlines the three waves of AI infrastructure, highlighting the importance of trust in the future of AI. Builders can leverage this insight to identify emerging opportunities in AI development and infrastructure.
The three waves of AI infrastructure:
Wave 1: Models. GPT, Claude, Llama. Solved.
Wave 2: Orchestration. LangChain, CrewAI. Being solved.
Wave 3: Trust. Identity, permissions, audit trails. Barely started.
Every major technology shift has required a trust layer before
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AI infrastructuretrust layeropportunitytechnology trendsbuilder insights
This curated list of AI prompts across various fields provides builders with ready-to-use tools that can enhance productivity and creativity, making it easier to leverage AI in their projects.
iโve curated a list of high-impact prompts used by professionals across 8 different fields for anyone to copy and use freely.
the prompts include:
coding (5 prompts):
> rug risk analyst (works best with gpt 5+)
> typescript type expert
> repository indexer
> refactoring expert
A roundup of visually striking, AI-generated websites that showcase current design and tech trends. Builders can use this as inspiration for new projects or to spot emerging aesthetics and features that may attract users.