AI 资讯
Do unused MCP tools cost you money?
A short case study from my "building and testing MCP agents" series — it stands on its own, but the method behind it is laid out in https://dev.to/langensjonathan/the-parameters-that-actually-matter-when-youre-tuning-an-ai-agent-2agd . TL;DR: I benchmarked two agents that are identical except for one thing — how many MCP servers they're connected to — on the exact same question. Both got the right answer, both called the same single tool. The one with more MCP servers attached still cost 28% more per question , purely from the extra tool schemas the model has to be told about on every single call, whether it uses them or not. The setup MAVERIK is my open-source MCP test bench: define a suite of questions with pass criteria, run it against one or more agent configurations, and compare the results on hard numbers. This post is one deliberately tiny experiment with it: change exactly one thing about an agent, hold everything else fixed, and see what the numbers attribute to that one change. I have a small "GitHub summarizer" agent: one system prompt, one job — answer questions about my GitHub account by calling the GitHub MCP server . I duplicated its configuration (MAVERIK supports this directly — same model, same prompt, same everything) and changed one field on the copy: the set of attached MCP servers, adding deepwiki , microsoft-learn , and context7 . Neither agent needs any of those three for the question I was about to ask; they were attached because that's what the "kitchen sink" version of this agent had accumulated over a few sessions of general-purpose use. Then I wrote the simplest possible test suite — one question: "How many repositories do I have?" with a contains criterion checking the answer includes the correct count. No judge model, no subjectivity — it either says the right number or it doesn't. I ran both agents against it, 2 repetitions each, same model ( claude-haiku ) for both, and pulled up MAVERIK's Agent Comparison report. Agent A — github on
AI 资讯
Route Voicemails with Python and Telnyx AI
I built a small Flask example that turns voicemail into a routing workflow. Code: https://github.com/team-telnyx/telnyx-code-examples/tree/main/voicemail-smart-router-python The app accepts either: a voicemail transcript an uploaded voicemail audio file For audio, it transcribes the voicemail first. Then it uses Telnyx AI Inference to classify the message and decide where it should go. Categories The app classifies voicemails into: urgent billing support sales spam routine Each category maps to a route: urgent -> Slack alert billing -> email support -> ticket queue sales -> CRM lead spam -> blocklist + archive routine -> daily digest Run it git clone https://github.com/team-telnyx/telnyx-code-examples.git cd telnyx-code-examples/voicemail-smart-router-python cp .env.example .env pip install -r requirements.txt python app.py Configure .env : TELNYX_API_KEY=your_telnyx_api_key AI_MODEL=zai-org/GLM-5.2 FALLBACK_MODEL=meta-llama/Llama-3.3-70B-Instruct HOST=127.0.0.1 Optional Slack webhook for urgent messages: SLACK_WEBHOOK=https://hooks.slack.com/... Classify a transcript curl -X POST http://localhost:5000/voicemails/transcript \ -H "Content-Type: application/json" \ -d '{ "transcript": "This is an emergency. Our production system is down and we need help immediately.", "caller_number": "+17177247292" }' Example response: { "category" : "urgent" , "confidence" : 1.0 , "priority" : "high" , "reason" : "The caller reports a production system outage requiring immediate attention." , "suggested_action" : "Escalate immediately to the on-call engineering team." , "route" : "slack" , "routed_to" : "#oncall-alerts" , "routing_status" : "delivered" } Process voicemail audio curl -X POST http://localhost:5000/voicemails/process \ -F "file=@voicemail.wav" \ -F "caller_number=+17177247292" For audio, the app calls: POST /v2/ai/audio/transcriptions using: distil-whisper/distil-large-v2 Then it calls: POST /v2/ai/chat/completions to classify the transcript. Routes included POST /voic
开发者
Leaked Pixel 11 Pro Fold photos also include mysterious new camera bar feature
Google's next foldable doesn't look all that different, save for the camera bar.
开发者
Manual reification on the JVM
submitted by /u/farnoy [link] [留言]
开发者
Govee’s portable smart lamp is down to one of its best prices to date
Buying multiple lamps for different rooms can get expensive. Govee’s rechargeable Table Lamp Classic gives you one lamp you can use throughout your home instead of getting one for every room, and right now it’s down to $59 ($21 off) at Amazon. That’s just $4 shy of the all-time low set during Prime Day, and […]
AI 资讯
Nvidia’s Open Source Alliance Snubs OpenAI and Anthropic
This week on Uncanny Valley, we discuss the open- vs. closed-source debate in AI, key players in White House AI policy, and how to stop your chatbot logs from showing up in search-engine results.
AI 资讯
Synthetic-user startup Simile raises $200M at $2B valuation 5 months after $100M Series A
Add another member to the fast-and-furious AI unicorn club: Simile
AI 资讯
Back to School Office Chair Deals 2026: $200 and Less
Here are the best back-to-school deals under $200 on comfy, ergonomic chairs for all-nighters and cram sessions
产品设计
Spotify launches ‘User notes’ to let users add memories to songs
Spotify says the new feature is designed to let users add personal captions to their favorite songs, such as noting why a track was added to a playlist or when they first discovered it
开发者
Global smartphone sales fall by six percent amid memory cost crisis
Despite the slump, Apple and Samsung have both seen their market share go up.
产品设计
Space Force-backed mission does its best impression of Top Gun in orbit
"Dogfighting in space doesn’t quite have the drama of an aerial dogfight."
开源项目
Stacked sessions and pull requests in the GitHub Copilot app
Learn how I modernized an old codebase of mine using stacked sessions and pull requests in the GitHub Copilot app. The post Stacked sessions and pull requests in the GitHub Copilot app appeared first on The GitHub Blog .
AI 资讯
NASA’s Curiosity rover found a ‘sea of polygons’ on Mars
The latest discovery from NASA's Curiosity Mars rover is a field of honeycomb-shaped polygons covering a Martian valley called Valle Grande. As Gizmodo reports, Curiosity has snapped pictures of the unusual terrain texture before, called polygonal fractures, each about 1.5 to 3 inches wide, but NASA says it's previously only found them in small patches, […]
科技前沿
Montana’s plan to become an experimental medical hub just pushed forward
As of this week in Montana, any biotech company with an experimental drug has a clear path to selling it to consumers. Companies whose drugs have been through preliminary testing—sometimes in as few as 10 healthy people—can pay $12,500 to apply to a newly established review board for approval. Once its treatment is rubber-stamped, the…
AI 资讯
ABC demands FCC drop its ‘punitive’ early license renewal of its stations
ABC filed its formal opposition to the Federal Communications Commission's effort to force it to submit to an early renewal of its broadcast station licenses, calling it an effort to chill the speech of broadcasters across the country. In a new filing with the FCC, ABC charges that the agency's willingness to pursue the early […]
AI 资讯
Pixel 11 Pro Fold design leaks ahead of Google launch event
Weeks ahead of Google's next Pixel hardware event, Leaker Evan Blass has shared what appear to be marketing renders of the unannounced Google Pixel 11 Pro Fold in a post on his Substack. The renders, if accurate, show that the new foldable will look fairly similar to last year's model - it has a tall […]
开发者
Don't Take the Black Pill - Andrew Kelley | SSW 2026
submitted by /u/arj-co [link] [留言]
科技前沿
Expensive phone cases: When and why it's worth paying more
Phone cases vary dramatically when it comes to pricing, but it's not always as simple as "you get what you pay for."
开源项目
Stacked pull requests are now in public preview - GitHub Changelog
submitted by /u/tomzorzhu [link] [留言]
开发者
We're Shipping Faster While Understanding Less
submitted by /u/Ejroby [link] [留言]