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Synthetic Training Data

Generation and use of model-produced data for pre-training and fine-tuning, and the debate over its limits.

Current stories

buildOne report1 publisher

NVIDIA and AI4Bharat will release a 2.8T-token Indic corpus built from translated English documents

NVIDIA and AI4Bharat say they will release about 2.8 trillion tokens of text covering all 22 constitutionally listed Indian languages. The text is synthetic, built from curated English documents, and the pipeline that made it is due out alongside.

Reality

Evidence40
Adoption
Not scored
Hype gap+10
Incentives55
Confidence70
buildOne report1 publisher

H Company's Holo4 merges its desktop and API specialists into one open-weight model

H Company's open-weight Holo4 27B handles GUIs, code, MCP servers and REST APIs in one model, scoring 61.7% on OSWorld 2.0 at an estimated $1.22 per task. The choice between specialists happens during training, so agent teams could drop the router from their stack if the scores hold on their own workloads.

Publishers:dev.to

Reality

Evidence35
Adoption
Not scored
Hype gap+25
Incentives
Not scored
Confidence40
buildOne report1 publisher

ServiceNow's AutoSynthData turns an agent's failed tasks into verified training data

ServiceNow's CoreAI team generates new agent training tasks, each with its own verifier, aimed at gaps a stronger teacher model can already solve. Adopting it means running a seedable copy of the environment and writing verifiers that accept any valid solution.

Publishers:huggingface.co

Reality

Evidence35
Adoption
Not scored
Hype gap+10
Incentives55
Confidence40
buildOne report1 publisher

NVIDIA's Kumo Tabular predicts labels for new table rows in a single forward pass

NVIDIA released Kumo Tabular, a commercially licensed tabular model it says ranks first on four public benchmarks with no per-task training. At inference the labeled table replaces the fitted model, so the rankings carry over only where a team's tables resemble the benchmark sets.

Publishers:huggingface.co

Reality

Evidence40
Adoption
Not scored
Hype gap+30
Incentives75
Confidence45
productConfirmed3 publishers

Salesforce's Koa model reaches pilots with two accounts of what it was trained on

Salesforce and Nvidia post-trained Koa on simulated CRM workflows and claim three times fewer errors than leading general-purpose models. The published record describes the training data two different ways.

Perspective Coverage

3 publishers
Builder
Builder 35%
Operator
Operator 38%
Investor
Investor 27%

Reality

Evidence45
Adoption20
Hype gap+35
Incentives75
Confidence55
investOne report1 publisher

Astrus raises $12 million to train a chip-layout model on data it generates itself

Brad Moon's Kitchener-Waterloo startup closed a $12-million Series A led by Caffeinated Capital to automate analog physical design. The bet is that a foundry-calibrated physics environment can manufacture the layout data chipmakers keep secret.

Publishers:betakit.com

Reality

Evidence29
Adoption
Not scored
Hype gap+46
Incentives78
Confidence41
buildOne report1 publisher

Sabotage in under 2% of 6,000 synthetic stories transferred into an assistant's chats

A new paper finetunes GPT-4.1 and Kimi-K2.6 on stories about humans. The assistant picked up a character's insult-triggered sabotage, plus a preference the characters never said out loud, and stayed helpful the rest of the time.

Publishers:lesswrong.com

Reality

Evidence44
Adoption
Not scored
Hype gap+12
Incentives55
Confidence48
investOne report1 publisher

Bespoke Nimble alone closed 24 of the 27-point gap to Jev within two days of launch

Bespoke Nimble's LoRA fine-tune of Qwen3.5-9B scored 90% against Jev's 93% on an eval it curated itself, and five more replications landed at scales between 421M and 35B parameters. No standard benchmark exists for the category yet.

Reality

Evidence32
Adoption46
Hype gap+42
Incentives72
Confidence38
productOne report1 publisher

Yang traces the AI slowdown to self-replicating code sourced to one unnamed lab head

Andrew Yang told CNN the open internet is now unusable for training models. TechCrunch's rebuttal came from an unnamed security professional. Anyone budgeting next year's training data gets two anonymous positions.

Publishers:techcrunch.com

Reality

Evidence40
Adoption
Not scored
Hype gap+45
Incentives70
Confidence50
buildOne report1 publisher

A LoRA on Qwen3.5-9B closed 24 of the 27 points between the base model and Jev

Jev launched closed on Wednesday, and two days later six teams had published reproductions with almost nothing in common underneath. Only one of them published a score, measured on an eval it curated itself.

Publishers:latent.space

Reality

Evidence32
Adoption45
Hype gap+42
Incentives72
Confidence45
buildOne report1 publisher

Cua trains a 2.8 MB scorer to replace the per-field reasoning step in form agents

Cua published a 706,048-parameter model, its training data and its driver integration under MIT, so the claim that a small specialist can take over the per-field decision step is testable by anyone with forms.

Publishers:runtimewire.com

Reality

Evidence48
Adoption12
Hype gap+20
Incentives68
Confidence55
scienceOne report1 publisher

SARD renders 133,105 Arabic articles into 2.6 million clean book-page images

A new synthetic dataset gives Arabic OCR training six fonts and 794.6 million words of perfectly aligned ground truth. Every page is rendered clean, so none of it tells you how a model copes with a bad photocopy.

Publishers:nature.com

Reality

Evidence58
Adoption12
Hype gap+18
Incentives45
Confidence60
buildOne report1 publisher

Rekognition draws the boxes for the people AWS's diffusion model inserts into real scenes

AWS's synthetic hazard pipeline reports up to 160 percent higher person-detection mAP50 from images one model edited and a second model labeled. How starved the baseline was decides what that multiplier is worth.

Publishers:aws.amazon.com

Reality

Evidence35
Adoption10
Hype gap+35
Incentives80
Confidence55
scienceOne report1 publisher

Anthropic attributes 16 million Claude exchanges to 24,000 fraudulent accounts

The company names DeepSeek, Moonshot and MiniMax, and says the accounts reached Claude through commercial proxy resellers, in breach of the regional limits it sets because it does not sell in China. Its case rests on account-level traffic patterns.

Reality

Evidence40
Adoption30
Hype gap+30
Incentives78
Confidence45
buildOne report1 publisher

Longer fine-tuning carries a cat-loving trait through all five distillation hops

An experiment ran the subliminal learning pipeline five times over on Qwen2.5-7B-Instruct, making each student the next teacher. The cat trait held near 90 percent under longer training and scattered under shorter.

Publishers:lesswrong.com

Reality

Evidence58
Adoption
Not scored
Hype gap+8
Incentives30
Confidence48
scienceOne report1 publisher

A five-minute per-patient fit puts MIT's X-ray-to-CT registration under a millimeter

Existing 2D/3D registration models align well for some patients and fail for others. MIT's xvr, out today in Nature, fits itself to one patient in about five minutes, then matches that patient's X-rays to their 3D scan in seconds.

Publishers:news.mit.edu

Reality

Evidence58
Adoption
Not scored
Hype gap+30
Incentives70
Confidence55
productOne report1 publisher

Salesforce puts a model of its own under Agentforce while renting Claude for sales skills

Koa was trained on synthetic data drawn from nearly 30 years of Salesforce deployments and runs inside Agentforce, where Anthropic's Claude now arrives as Claudeforce with 37 prebuilt skills. Admins get two model layers to answer for.

Publishers:siliconangle.com

Reality

Evidence38
Adoption20
Hype gap+34
Incentives80
Confidence52
scienceOne report1 publisher

ORNL's SimuScan trains microscope AI on deliberately imperfect synthetic scans

Labeled atomic force microscopy images are scarce, so an Oak Ridge team simulated the drift, noise and tip artifacts that operators fight every day, then tested whether models trained on the simulation find real features in real scans.

Publishers:phys.org

Reality

Evidence55
Adoption15
Hype gap+25
Incentives65
Confidence45

Earlier coverage