just a curious guy exploring what AI can do

Anthropic’s cheapest model rn vs OpenAI’s cheapest model Claude Haiku 5.5 vs GPT-6 Luna same prompt, different output who won?
Haiku 5.5 is now available in the Claude Platform and Claude Code. On average, it costs around 75% less to run than Haiku 4.5. It pairs well with Opus 5.5 or Sonnet 5.5 as a subagent. Use it for high-volume, cost-sensitive tasks like summaries, compactions, or database queries.
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Anthropic just launched its cheapest Claude model yet Claude Haiku 5.5 costs around 75% less per task than Haiku 4.5 and up to 90% less per token for workloads under 100K tokens, according to Anthropic. It’s built for fast, high-volume workloads like: → Coding sub-agents → Browser agents → Customer-facing agents → Real-time apps → Tasks where larger Claude models get expensive Haiku 5.5 also introduces adjustable effort, letting developers control how much reasoning each task uses. Available now through the Claude app, API, AWS, Google Cloud, and Azure. This could make multi-agent systems far cheaper to run at scale
Haiku 5.5 is now available in the Claude Platform and Claude Code. On average, it costs around 75% less to run than Haiku 4.5. It pairs well with Opus 5.5 or Sonnet 5.5 as a subagent. Use it for high-volume, cost-sensitive tasks like summaries, compactions, or database queries.
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i found another way to code with AI for $0, and this one doesn’t even ask for an API key🫪 Clixad is a terminal AI coding agent that lets you sign in with GitHub and start coding with free models. right now you can use: → GPT-5 Nano → Gemini 2.5 Flash-Lite → DeepSeek V4 Flash → Gemini 3.5 Flash-Lite → Kimi K2.5 you also get 25K credits when you create an account, with no card required. setup is stupidly simple: 1. install Clixad npm install -g clixad 2. login & launch it clixad login open it in your project clixad 3. sign in with GitHub 4. run /model 5. pick one of the free models and start coding that’s literally it. no API key setup
OMG! THIS IS F*CKIN UNBELIEVABLE 😭 someone built a public pool with 1.46 MILLION AI tokens you can use for FREE sponsored/tokens basically lets sponsors pay for your AI inference. you get: → models like GPT-6 Luna Pro, Qwen3.8, GLM 5.3 FlashX and more → free AI tokens from the shared pool → OpenAI + Anthropic-compatible endpoints → works with supported coding agents → no need to pay for every request yourself → completed responses simply show who sponsored them setup is pretty simple: 1. install the sponsored/tokens CLI 2. login with stok login 3. launch OpenCode with stok opencode 4. run /connect 5. search Sponsored Tokens and add your API key 6. pick any available model and start coding there are weekly limits and the pool can run out. milk it while it lasts. CLI install links + full setup in the comments
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Mark Zuckerberg was asked point blank: “is AI gonna kill us?” his answer: probably not. Zuck says if AI labs act responsibly, he believes AI will lead to a positive future and thinks a lot of the current conversation around AI is too filled with doom. what’s interesting is how divided the people building this technology actually are. some are openly warning about extinction-level risks. Zuck thinks we can keep building and handle the problems as they come
Nvidia CEO Jensen Huang disagrees with Elon Musk on the risk of AI wiping out humanity. Musk says there’s a 10–20% chance AI or killer robots could wipe us out. Jensen says there’s a “0% chance” the world ends because of AI by 2030. he calls the doomsday talk “too much drama,” says it’s not grounded in science, and believes scaring people about AI is irresponsible. two people at the center of the AI race with completely different views on where this could end
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orvian retweeted
last call for free gemini 😳 oct 9 is the final day of gemini's free tier if you're still on the free version, move now > free dies friday > paid only after this is the last free week don't sleep on it 👀 gemini.google.com
Claude Code mods just went GA 😳 the week's biggest agent story mods let you drop custom tools and workflows straight into Claude Code the numbers: - 20,342 likes on the announcement - 4.36M views - the "you should know" follow-up did 16,023 likes too everyone's been waiting on this one try it here: claude.com/blog/claude-code-…
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OMG! THIS IS F*CKIN UNBELIEVABLE 😭 someone built a public pool with 1.46 MILLION AI tokens you can use for FREE sponsored/tokens basically lets sponsors pay for your AI inference. you get: → models like GPT-6 Luna Pro, Qwen3.8, GLM 5.3 FlashX and more → free AI tokens from the shared pool → OpenAI + Anthropic-compatible endpoints → works with supported coding agents → no need to pay for every request yourself → completed responses simply show who sponsored them setup is pretty simple: 1. install the sponsored/tokens CLI 2. login with stok login 3. launch OpenCode with stok opencode 4. run /connect 5. search Sponsored Tokens and add your API key 6. pick any available model and start coding there are weekly limits and the pool can run out. milk it while it lasts. CLI install links + full setup in the comments
this is insane 😭 you can use all of these AI models for FREE: • Nemotron 550B • Gemini 3.8 Flash • Gemini 2.5 Pro • GPT-OSS 120B • Qwen 3.8 • GLM-4.7 Flash • Mistral Large 3 and i just found a GitHub repo that shows you exactly where + the free API limits for each one
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orvian retweeted
Interesting how the board shook out. Gemini Spark at #1 and Instinct at #2 show that workspace integration and agent-specific tuning matter way more than raw parameter size. Grok and Muse lag at the bottom because they lack that contextual grounding.
Which personal agent is the best life assistant? Today we're releasing the micro1 PersonalAgentBench to help answer that, and we're paying real personal agent users to contribute to the benchmark. Personal agents can now book your flights, answer emails, and move your meetings around. That’s great, until one messages the wrong person or makes a purchase without confirming. Capability is not the same as trust. So we put four personal agents to the test: Instinct, Muse, Grok Bot, and Gemini Spark. We found that even when agents found the right information, they still often miss what matters, overshare, or make things up. To find out for yourself how your agent compares, you can join our benchmark. We’re paying the first 100 users to run our prompts and share their results.
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orvian retweeted
hot takes said ai would kill the crm but the opposite happened. the integrations became the whole game. agents only matter if they can act on the systems your business actually runs on. @WithAmpersand built the layer for that.
Your AI is vaporware without deep integrations with your customers’ systems of record. Introducing @WithAmpersand: integration infrastructure for enterprise agents. We power 11x, Orb, and Square's ability to take agentic action in systems of record like Salesforce, SAP, NetSuite, and Workday. Ask anyone serious about building AI and they’ll tell you: - The SaaSpocalypse didn’t happen. The world depends on CRMs, ERPs, HRISs, and ITSMs. - Your customers customized their deployments beyond recognition. - Systems of record companies are basically monopolies. They never had to make their APIs and MCPs user-friendly. - Docs don't explain half the weird edge cases you'll hit. - One bad write can blow up your pilot or renewal. - Once you finally get it working, someone changes a field and it breaks again. The world's data lives in structured databases. AI needs a translation layer to work with it. So, for your AI to truly transform the way enterprises work, you'll need deep integrations built for: - scoped permissions - bi-directional actions - real-time speed for agents - custom objects, fields, and workflows for each of your customers We built Ampersand to power the future of software. AI didn't trivialize writing integrations. It made them the critical path. I believe that deeply, so I didn't make a launch video about Ampersand. Instead, it's the best builders I know explaining just how big of a challenge this is.
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The hardest part of enterprise AI isn’t the AI. It’s getting agents to actually work inside the messy systems companies already use. AMPERSAND handles deep integrations across Salesforce, SAP, NetSuite, Workday, and more —> with scoped permissions and bi-directional actions. AI can reason all day. It still needs access to the systems where the work happens.
Your AI is vaporware without deep integrations with your customers’ systems of record. Introducing @WithAmpersand: integration infrastructure for enterprise agents. We power 11x, Orb, and Square's ability to take agentic action in systems of record like Salesforce, SAP, NetSuite, and Workday. Ask anyone serious about building AI and they’ll tell you: - The SaaSpocalypse didn’t happen. The world depends on CRMs, ERPs, HRISs, and ITSMs. - Your customers customized their deployments beyond recognition. - Systems of record companies are basically monopolies. They never had to make their APIs and MCPs user-friendly. - Docs don't explain half the weird edge cases you'll hit. - One bad write can blow up your pilot or renewal. - Once you finally get it working, someone changes a field and it breaks again. The world's data lives in structured databases. AI needs a translation layer to work with it. So, for your AI to truly transform the way enterprises work, you'll need deep integrations built for: - scoped permissions - bi-directional actions - real-time speed for agents - custom objects, fields, and workflows for each of your customers We built Ampersand to power the future of software. AI didn't trivialize writing integrations. It made them the critical path. I believe that deeply, so I didn't make a launch video about Ampersand. Instead, it's the best builders I know explaining just how big of a challenge this is.
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orvian retweeted
Stop overpaying for api tokens, do this instead 🚨 so i switched to deepseek v4 flash…free on codex/claude paired with glm 5.3 flash as subagents with antseed free. no card. no account. 200+ providers on the network. [it takes 3 mins to set up — here is how] 1. download antseed (antseed.com) 2. connect codex/claude code/hermes etc 3. pick a provider, that’s it It is anonymous, happy tokenmaxxing
What BitTorrent did for files, we want to do for AI inference. Antseed lets anyone buy and sell access to AI models, on their own terms. The Antseed Foundation has raised $2.4M in a token round led by Spark Capital to help make that happen.
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orvian retweeted
Australia just did what the chinese ai decision model hasn’t done and they beat jev 💀
Today we are open-sourcing Matilda Jev, Australia's first decision model, conditioned for Australian deployment and post-trained with our own specialised recipe. Decision models do not generate text. They answer a typed question and respond with a calibrated probability for each option in a single forward pass, reducing hallucination and making intelligent decisions faster and more efficient. This release proves that highly capable AI models can be built, post-trained, evaluated, and served entirely within Australia. Post-trained end-to-end on our local infrastructure, the model achieved a median decision latency of 56.8ms on a single @AMD MI355X across 150,317 evaluation requests.
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Elon Musk explains why he doesn’t trust Sam Altman. but the crazy part is what he said next: according to Elon, Dario Amodei and the Anthropic team left OpenAI because they didn’t trust Sam either. “otherwise Anthropic wouldn’t exist. they would still be at OpenAI.” this is crazy, lol 😂
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this is insane 😭 you can use all of these AI models for FREE: • Nemotron 550B • Gemini 3.8 Flash • Gemini 2.5 Pro • GPT-OSS 120B • Qwen 3.8 • GLM-4.7 Flash • Mistral Large 3 and i just found a GitHub repo that shows you exactly where + the free API limits for each one
LOOK AT WHAT I FOUND 😭 i’ll be saving my Codex limit for the rest of the week because of this. Apodex 1.1 Mini is a new FREE 35B model built for coding and research + long-running agent work. 262K context. tool calling. and completely FREE on OpenRouter rn. i plugged it into OpenCode and tested it on one of my actual projects. surprisingly usable. setup: → open OpenCode → connect OpenRouter → /models → select apodex/apodex-1.1-mini:free → start coding you can also plug it into Hermes, Cline, Kilo, Pi, etc. through OpenRouter. model: apodex/apodex-1.1-mini:free $0 input. $0 output. enjoy it!
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orvian retweeted
Self driving cars didn't start on every road. They started in one city, one set of conditions, with a safety driver. Same playbook here. Nolla's AI doctor starts with acne, in one state, with clinicians ready to step in. That's how you know it's real.
Today, Nolla Health became the first organization in the U.S. (and possibly the world) to receive regulatory approval for an AI to issue initial prescriptions. This makes Nolla the first ever actual end-to-end AI doctor.
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Nvidia CEO Jensen Huang vs Elon Musk on AI doomsday risk Jensen Huang:  “There’s a 0% chance the world ends because of AI by 2030.”  “Too much drama.”  “Not grounded in science.”  “Scaring people about AI is irresponsible.”  Elon puts the odds at 10–20% btw.
Elon Musk on the pace of AI progress Elon Musk: “I’m in AI & it still makes my head spin.” “When I go to bed, there’ll be some big AI breakthrough.” “And then when I wake up, there’s an AI breakthrough.” “And by the time it gets to lunch, there’s another AI breakthrough.”
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orvian retweeted
Trump: it's not AI anymore. It's SI. "It's not AI. It's SI. We've changed the name officially today." "Whoever wins SI is going to win." "They say it's bigger than the Industrial Revolution. Far bigger than the Internet."
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AI AGENTS ARE ABOUT TO GET EXPOSED. Most agents look impressive in a clean demo. Then reality hits. Messy records. Conflicting systems. Missing context. Rate limits. Years of messy company data. ERA by EON gives agents a realistic company to operate inside and stress-tests them against the chaos they’ll actually face in production. Because the real question isn’t: “CAN THE AGENT DO IT?” It’s: “WHAT HAPPENS WHEN EVERYTHING GOES WRONG?”
You can’t safely test an enterprise agent on a real company’s data. So we built a company for it to work in. Era is live today, and it’s free. It generates a complete simulated enterprise that behaves like a real one across Salesforce, Slack, Jira, Zendesk, Gong, Deel and more, along with cloud databases and storage. Agents interact with it through live MCP and API interfaces. People leave. Deals change. Records get duplicated. Permissions differ across systems. And because Era generated the company, it knows the exact ground truth. Test, benchmark and improve agents against realistic enterprise workloads, use the failures for targeted post-training, then rerun the same environment to measure the impact. Huge thanks to our research partners @NVIDIA, @Decart, @Composio, @openlayerco, @Deel, @Eragon and @Plurai, with more coming soon.
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