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Project

Ollama

Ollama is an open-source tool for running large language models locally, offering an API and CLI to download, serve, and interact with models on-device.

Known aliases

  • local_ollama
  • OL
  • ollama
  • Ollama chat API
  • ollama-cloud
  • Ollama daemon
  • Ollama Modelfile
  • ollama/ollama
  • Python Ollama client

Current stories

buildConfirmed4 publishers

Apple's idle Macs pull their own AI jobs from a PostgreSQL queue, with no central scheduler

Apple's internal Minions system moves stalled AI jobs onto idle Macs, cutting some 10-plus-hour GPU queues to as little as minutes. The researchers also saw a common worry about team data running on devices outside the group.

Publishers:arxiv.org computerworld.com machinelearning.apple.com tomshardware.com

Perspective Coverage

4 publishers
Builder
Builder 43%
Operator
Operator 35%
Investor
Investor 22%

Reality

Evidence45
Adoption15
Hype gap+30
Incentives50
Confidence62
buildConfirmed12 publishers

NVIDIA's Bolt packs 74B parameters into a claimed 24GB by storing them at 2 bits

NVIDIA says its Nemotron 3.5 Bolt 74B-A9B agent model fits in 24GB and will ship with open weights, data and recipes. The footprint, the license terms and the quality claims stay unverified until the weights are live and outside testers have run them.

Perspective Coverage

12 publishers
Builder
Builder 40%
Operator
Operator 35%
Investor
Investor 25%

Reality

Evidence42
Adoption
Not scored
Hype gap+25
Incentives60
Confidence58
investOne report1 publisher

Apple, Amazon and Microsoft launch AI gadgets into the weakest consumer sentiment in 12 years

Apple, Amazon and Microsoft announced AI devices in the past week against the weakest consumer sentiment data in 12 years. IDC's Jitesh Ubrani does not expect large volumes yet, and Forrester's Dipanjan Chatterjee calls the season an early test of demand.

Publishers:cnbc.com

Reality

Evidence50
Adoption
Not scored
Hype gap
Not scored
Incentives60
Confidence55
buildOne report1 publisher

One dev.to guide sizes a 200-user SAP system at 371,250 AI Units a month

A dev.to guide forecasts 371,250 SAP AI Units a month for a 200-user system. Its own metering ranges put the 150-unit developer day at three refactors on the 50-unit floor, or under one at 200, so the total turns on call mix.

Publishers:dev.to

Reality

Evidence30
Adoption
Not scored
Hype gap+30
Incentives
Not scored
Confidence50
buildOne report1 publisher

Ollama's timings block rates a one-token prefill at 3,875 tokens per second

Ollama's OpenAI-compatible endpoint reported 3,875 prompt tokens per second where the real rate was 125, a dev.to author found. Any benchmark that repeats a prompt and reads that field overstates prefill speed by the share served from cache.

Publishers:dev.to

Reality

Evidence55
Adoption
Not scored
Hype gap+5
Incentives35
Confidence55
buildOne report1 publisher

Open WebUI's 0.11.4 security fixes were still missing from GitHub and OSV advisory records on 11 October

At least 15 Open WebUI advisories fixed in 0.11.4, one a CVSS 8.1 session-token theft, were missing from GitHub's advisory database and OSV on 11 October. Scanners reading those databases can report 0.11.1 to 0.11.3 as clean, a dev.to post found, so operators have to check the version themselves.

Publishers:dev.to

Reality

Evidence48
Adoption
Not scored
Hype gap+12
Incentives55
Confidence42
buildOne report1 publisher

EmbeddingGemma 2 maps five modalities into one 768-dimension vector space

Google DeepMind released EmbeddingGemma 2, a 740M-parameter open model that runs on a phone and embeds text, code, images, video and audio in one space. Teams running a separate embedder per modality can consolidate on it if Google's reported benchmark numbers hold on their own data.

Publishers:dev.to

Reality

Evidence50
Adoption20
Hype gap+25
Incentives60
Confidence55
buildOne report1 publisher

Copilot CLI pairs local Ollama models with a GA sandbox that excludes the CLI's own process

GitHub added local Ollama model discovery to Copilot CLI 1.0.94-0 and took its agent sandbox to general availability on October 7, dev.to reported. Keeping work on a developer's machine still takes manual steps, since Ollama must be installed first and offline mode is a separate setting.

Publishers:dev.to

Reality

Evidence48
Adoption
Not scored
Hype gap−5
Incentives
Not scored
Confidence45
buildOne report1 publisher

AWS, Upstage and Ollama adopt TypeSafe's System One schema for decision models

AWS, Upstage and Ollama now serve decision models through TypeSafe's System One request format, within three weeks of TypeSafe launching Jev. OpenAI has not signed on, so teams wiring decision calls into agents are picking an interface while the standard is still forming.

Publishers:thenewstack.io

Reality

Evidence55
Adoption45
Hype gap+15
Incentives
Not scored
Confidence50
securityConfirmed5 publishers

PoeLLM botnet has turned more than 2,100 exposed servers into miners and scanners

Lumen's Black Lotus Labs says the PoeLLM cryptomining botnet has compromised more than 2,100 servers, many running exposed LiteLLM or Ollama. Each host it takes then mines and scans for the next, so an AI server left open to the internet is attack surface to lock down.

Perspective Coverage

6 publishers
Builder
Builder 34%
Operator
Operator 59%
Investor
Investor 7%

Reality

Evidence70
Adoption50
Hype gap+5
Incentives
Not scored
Confidence70
buildOne report1 publisher

Ollama and llama.cpp now serve Jev-spec decision models on local hardware

Ollama and llama.cpp added local endpoints within a week for Jev decision models, 144M-to-27B checkpoints that return a label and a probability. Routing calls can move off hosted models once teams check each checkpoint's licence and test it on their own labels.

Publishers:dev.to

Reality

Evidence35
Adoption25
Hype gap+15
Incentives40
Confidence30
buildOne report1 publisher

Renaming a Gemma 4 model in Ollama 0.35.1 changes which prompt template it gets

Ollama 0.35.1 picks Gemma 4's prompt template from the model's name, so a copied or renamed 12B model loses four prompt tokens when thinking is off. Teams that save the library model under their own name can pin RENDERER gemma4-large in the Modelfile to keep the template that matched Google's.

Publishers:dev.to

Reality

Evidence70
Adoption
Not scored
Hype gap0
Incentives
Not scored
Confidence65
buildOne report1 publisher

Genex wraps Claude Code and Codex in an MIT-licensed harness for Three.js games

Genex released a free, MIT-licensed desktop app that points existing coding agents at Three.js browser games. Each game stays an ordinary codebase on the developer's machine, so dropping the harness later still leaves a working project.

Publishers:runtimewire.com

Reality

Evidence35
Adoption
Not scored
Hype gap+10
Incentives40
Confidence40
buildOne report1 publisher

Flowise deleted its CSV Agent after the regex guarding model-written code failed repeatedly

Flowise fixed a CVSS 9.8 remote-code bug in its CSV Agent with a stricter regex, then saw that filter fail through five more CVEs. It deleted the feature in June, and the patch history is a case against trusting a string filter to vet model-written code.

Publishers:dev.to

Reality

Evidence64
Adoption
Not scored
Hype gap−5
Incentives25
Confidence60
investConfirmed11 publishers

Ethereum Foundation puts anonymous pay-per-call AI billing on mainnet with zkAPI

Ethereum Foundation launched zkAPI on mainnet, letting users pay for AI model calls from a private vault without revealing who is paying. The project's own repository still labels the protocol experimental, so early use will come from privacy-minded users and AI agents willing to test it.

Perspective Coverage

11 publishers
Builder
Builder 41%
Operator
Operator 36%
Investor
Investor 23%

Reality

Evidence68
Adoption10
Hype gap+15
Incentives60
Confidence72
buildOne report1 publisher

Ollama lets thinking models skip the JSON schema by answering without thinking

Ollama since 0.34.4 lets Gemma 4 skip the requested JSON schema, returning bare text with HTTP 200 in 8 of 24 test calls. Until the open fix ships in a release, structured output on local thinking models needs a shape check in the client.

Publishers:dev.to

Reality

Evidence62
Adoption
Not scored
Hype gap+10
Incentives20
Confidence58
buildOne report1 publisher

Four coding-agent CVEs trace to approval gates that parse commands differently from the shell

Four September 2026 CVEs in Codex CLI, Roo-Code, OpenClaw and Ollama came from approval gates that read commands differently from the shell. Ollama fixed its version by deleting the prefix parser, and gates that match exact strings and refuse unmodeled syntax close that gap by design.

Publishers:dev.to

Reality

Evidence55
Adoption
Not scored
Hype gap+15
Incentives30
Confidence50
buildOne report1 publisher

NVIDIA's RTX Spark PCs fit a 4-bit 70B model in 128GB with about 90GB to spare

NVIDIA's RTX Spark PCs from Lenovo and Acer ship in October with up to 128GB of shared CPU/GPU memory, enough for a 4-bit 70B model. Long-context agents now fit on owned hardware, though a cost comparison with cloud inference waits on system prices.

Publishers:dev.to

Reality

Evidence30
Adoption
Not scored
Hype gap+35
Incentives
Not scored
Confidence30

Earlier coverage

  1. Granite 4.2 ships a self-hostable reasoning tier under Apache 2.0, and its data says coding agent

    Build · August 25, 2026 · Confirmed3 publishers

  2. NemoClaw's wide Ollama bind lets a webpage rewrite your model's chat template

    Security · August 25, 2026 · Confirmed2 publishers

  3. NVIDIA PAIR schedules each subagent call onto whichever LAN box already holds the model

    Build · September 3, 2026 · Confirmed5 publishers

  4. DeepSeek's new encoder-decoder splits inference into an 8B prefill and a 16B decode

    Build · September 11, 2026 · Confirmed3 publishers