Product management and marketing. Advisor and consultant working on #AI, data, #developers. Ex #MongoDB, #MySQL, #Oracle, #Sun. Avid traveller and #Pompey fan
UK
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Mat Keep retweeted
Today we're launching the Specialized Intelligence Index (SII): one destination for real-work benchmarks across industries, built by the teams that use them every day.
Hear from Fireworks co-founder @the_bunny_chen on the importance of specialized benchmarks:
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Mat Keep retweeted
We’ve just added three new speakers to our incredible Fireworks Forge lineup!
We are proud to welcome @BrendanFoody @pirroh and @jefftangney to the stage as we bring together the people, teams, and companies building their own frontier on open models.
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Had the privilege of working with the @phylo_bio team on telling the company’s journey to open weights models #agenticAI
Open models are becoming increasingly capable in biology. Serving them well is harder.
Fireworks gives @phylo_bio day-zero access and a fast serverless path, putting research agents in front of more scientists.
Learn more: fireworks.ai/blog/phylo-brin…
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Rented intelligence is the same model everyone else calls. Owned intelligence is trained on what only you know, and it gets better every time you use it.
Join the @FireworksAI_HQ webinar on making the leap to specialized intelligence.
fireworks.ai/event/webinar-m…
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Training API is now generally available.
Bring your own loop, @FireworksAI_HQ runs the infra.
3 ways to train
→ Training API (bring your loop)
→ Managed Training (bring your data)
→ Fireworks Lab (embedded #ML researchers)
Train past the frontier: fireworks.ai/blog/train-past…
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Nearly 2x more legal agent tasks completed. Same cost per task. @harvey and @FireworksAI_HQ post-trained #Kimi K3 into Tenet using async RL. Summary of how specialized intelligence for #legal workloads stacks up fireworks.ai/blog/post-train…
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The team that developed @FireworksAI_HQ Nexus have done an amazing job at eliminating #softwareengineering dependency on closed #AI models. Instead Nexus brings the most efficient model to the task, along with full cost transparency. Here's an overview piped.video/watch?v=Lzea1L7T…
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Voyage AI models now run natively on Fireworks, the first and only dedicated inference platform @VoyageAI by @MongoDB has partnered with.
Embed, retrieve, rerank, generate: your full retrieval pipeline on one platform, next to the open models you own.
fireworks.ai/blog/voyage-ai-…
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Available today - #kimiK3 now available on @github #copilot, served on @FireworksAI_HQ github.blog/changelog/2026-0…
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Kimi K3 on @FireworksAI_HQ : matches #Opus 5 at up to 5x lower cost per task, #1 open model in frontend code. Serve day-0, then fine-tune from your laptop. Start with the open model as your default, route to closed only where the task demands it: fireworks.ai/blog/kimik3-on-…
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Benchmarking #kimiK3 and #fable on @FireworksAI_HQ - results across over 1k tests show the advance of open #AI models fireworks.ai/blog/kimik3-fab…
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The #AI debate often asks: "How many jobs will AI replace?". This research suggests a better question: "Which companies will use AI to create more growth?"
The biggest AI adopters were also the fastest hirers. AI appears to reward ambition, not cuts ramp.com/data/ai-jobs-impact
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Everyone's chasing better models. The bigger competitive advantage is better data pipelines.
The teams that build a data flywheel that continously feeds quality data to models will make their #AI smarter ahead of their competitors @ApacheAirflow thenewstack.io/ai-training-d…
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We've spent two years obsessing over #GPUs, #AI model benchmarks and token pricing. The next question is much harder: how much intelligence are we actually buying?
The companies that answer that will define the next phase of AI:
exponentialview.co/p/the-sta…
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Interesting read. Seen others say #AI means smaller engineering teams. I'm not convinced.
I think we'll see the same-sized teams delivering much more, with #softwareengineers, product, design and AI working far more fluidly together.
lethain.com/revised-rules-of…
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Interesting thesis: code is becoming disposable, intent is the asset.
Maintaining specs instead of code sounds compelling. My question is whether specs can stay complete enough to regenerate complex systems reliably. #softwareengineering #agenticAI thenewstack.io/codeplain-spe…
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5 forces ending frontier #AI model dominance:
1. #OpenSourceIntelligence & models closing the gap
2. Enterprises capping #token spend
3. The harness > the model
4. Closed APIs have kill switches
5. Compute buildout stalling
The renting era is over. 🔥 aspiringforintelligence.subs…
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Turns out you don't need a frontier model to know when your AI messed up. @LangChain + @fireworks_ai fine-tuned a model that beats GPT-5.5 at catching agent errors — at 100x lower cost. Cheaper and smarter: langchain.com/blog/building-…
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