Fresh AI news
DeepSeek opens Search and Fetch APIs for live web agentsDeepSeek ships V4.1-Flash-1017, a faster open MIT modelClaude Mythos 5 designs cheaper quantum circuits on eight tasksDOE releases Genesis Agent Skills for scientific AI coding toolsGoogle Research grounds AI agents in wet-lab experiment loopsMeta commercial terms authorize crawling business sites to train AINVIDIA RTX Spark laptops go on sale for local AI agentsOpenAI updates GPT-6 Pro with parallel agents in ChatGPTReflection releases Beam weights under Apache 2.0ChatGPT Slides rolls out for creating and presenting decksElorian previews Glimpse, a model that revisits visual evidenceNVIDIA releases Nemotron Labs Dory 1.0, a 4B looped modelOpenAI makes prompt-to-voice generally available for GPT-LiveAnthropic gives METR employee-like access to review frontier AI risksDeepSeek opens Search and Fetch APIs for live web agentsDeepSeek ships V4.1-Flash-1017, a faster open MIT modelClaude Mythos 5 designs cheaper quantum circuits on eight tasksDOE releases Genesis Agent Skills for scientific AI coding toolsGoogle Research grounds AI agents in wet-lab experiment loopsMeta commercial terms authorize crawling business sites to train AINVIDIA RTX Spark laptops go on sale for local AI agentsOpenAI updates GPT-6 Pro with parallel agents in ChatGPTReflection releases Beam weights under Apache 2.0ChatGPT Slides rolls out for creating and presenting decksElorian previews Glimpse, a model that revisits visual evidenceNVIDIA releases Nemotron Labs Dory 1.0, a 4B looped modelOpenAI makes prompt-to-voice generally available for GPT-LiveAnthropic gives METR employee-like access to review frontier AI risks

Teaching & Building with AIAgents, Local Models, and Workflows

I build with AI coding agents and share what works on X and YouTube and give back through free AI resources and open-source projects.

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Melvin Vivas at his desk in front of an AI agent architecture diagram

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Today's AI news brief

All AI news

Models ·

DeepSeek ships V4.1-Flash-1017, a faster open MIT model

DeepSeek released (Oct 17) DeepSeek-V4.1-Flash-1017, a minor update to V4.1-Flash that it says is stronger on reasoning, coding, agent, and visual benchmarks while finishing tasks faster with shorter outputs. Bloomberg reported the update went live Saturday on DeepSeek’s website, app, and developer platform. Open weights are on Hugging Face under the MIT License, and the model card lists a 763-billion-parameter checkpoint with a 1 million-token context. On DeepSeek’s own table, the new checkpoint scores 77.0 on DeepSWE v1.1 and 72.1 on Apex Bench v1.1, ahead of the prior Flash and of the Claude Opus 5, GPT-5.6 Sol, Kimi K3, and GLM-5.3 numbers it lists. Opus 5 still leads Humanity’s Last Exam without tools (56.3 vs 42.6) and Terminal-Bench 4.0 (51.8 vs 42.3). These are vendor benchmarks. Distinct from the September V4.1-Flash launch and from the same-day Search and Fetch API.

Source: Hugging Face

Agents ·

DeepSeek opens Search and Fetch APIs for live web agents

DeepSeek’s API docs, covered Oct 17, add Search and Fetch endpoints for agents and retrieval apps. Search returns structured web results from DeepSeek’s in-house engine. Fetch returns one page as Markdown. Both bill $0.75 per 1,000 successful requests, not by tokens or result count. Failed calls, empty searches, and timeouts are not billed. Each endpoint is limited to 5 requests per second per account. Calls made through DeepSeek Harness, Claude Code, and Codex stay free until 00:00 Beijing time on Nov 1, 2026, then use the same per-request price. Distinct from the same-day V4.1-Flash-1017 model update.

Source: DeepSeek API Docs

Research ·

Claude Mythos 5 designs cheaper quantum circuits on eight tasks

Anthropic reported (Oct 16) that Claude Mythos 5, given plain-language specs and an automated evaluator, found quantum-circuit designs that beat the best published circuits on eight primitives from chemistry, optimization, physics simulation, and number theory. The model proposed code, received a correctness check and a qubit-times-gate score, and revised with no human edits between rounds. One 53-hour run produced a reversible divsteps modular inversion with no stored branch history. One variant uses 17× fewer gates than the smallest prior design at 12% more qubits. On decoded quantum interferometry, Anthropic says a Reed–Solomon decoder uses 12× fewer gates than Google’s prior construction. The work is simulated resource design, not a run on a quantum computer. Andi Gu led it with Harvard’s Susanne Yelin and Mikhail Lukin. The paper is on arXiv. Distinct from earlier Claude algorithm-optimization notes.

Source: Anthropic

Updated October 17, 2026

What I teach: AI Agents, Local Models & AI Workflows

Melvin Vivas at his desk in front of an AI agent architecture diagram

Melvin Vivas

AI Educator, Creator & Builder · Singapore

I teach AI Agents, Local Models, and AI Workflows to people who want to use AI, not just read about it. Before the channel: senior engineering roles at Standard Chartered Bank and Ohmyhome (Nasdaq), then a run of AI products built and shipped end to end. That's why every video, talk, and post is grounded in what actually ships.

  • Livestreams AI builds on YouTube and X
  • Speaker at NTU Singapore, PSIA, and DICT Philippines
  • 300+ trained through workshops and mentoring
  • Open-source maintainer: Codex orchestrator, Local Evals, Agent Monitor
  • 25 years across banking, fintech, and enterprise
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