AI Trends

Track the latest developments and trends in AI

AIwatermarksAnthropic

Anthropic shares more details about how Claude’s new watermarks will work

How will the watermarking actually work? Can it be hidden with editing? And how does this affect code?

TechCrunch AI8/16/20262
Read More
AIStartupscursor

SpaceX officially closes its Cursor acquisition

AI coding startup Cursor is now officially a part of SpaceX.

TechCrunch AI8/16/20261
Read More
AISecurityAnthropic

How to tell if your AI platforms’ accounts have been hacked

A guide on how to check if hackers have broken into your accounts on the most popular AI platforms.

TechCrunch AI8/16/20261
Read More
ApplicationsArtificial IntelligenceEditors Pick

Fine-Tuning Tool-Calling LLMs: A Complete Guide Using XYZ-Aquila-SFT and Qwen3

Implement an end-to-end fine-tuning pipeline for tool-calling language models. This tutorial covers parsing trajectories, structured tool-call extraction, Qwen-compatible ChatML rendering, and efficient LoRA adaptation using PyTorch. The post Fine-Tuning Tool-Calling LLMs: A Complete Guide Using XYZ-Aquila-SFT and Qwen3 appeared first on MarkTechPost.

MarkTechPost8/15/20262
Read More
AIAppsgemini

Google will now allow users to remove visible watermark from its AI generations

Turning off this setting won't affect invisible benchmarks used to identify an AI generated file.

TechCrunch AI8/15/20261
Read More
AIAmazonAnthropic

Does Mark Zuckerberg really believe AI is ‘for everyone’?

Meta released Glimmer this week, an open-weight AI model anyone can download and run on their own hardware — a contrast to Muse Spark, the company’s more powerful model that stays locked behind its own APIs. The release landed alongside a letter from Mark Zuckerberg arguing AI should be “for everyone” rather than controlled by a handful of labs, but as Equity’s […]

TechCrunch AI8/14/20261
Read More
AIStartupsAI inference

Kog is going deeper to squeeze more inference out of GPUs

The idea that GPUs are poorly suited for agentic workflows may be a misconception, according to French startup Kog.

TechCrunch AI8/14/20261
Read More
AIClimateAmazon

Hyperscalers might regret embracing natural gas if new forecast proves correct

Natural gas prices could triple in some parts of the U.S., which could saddle hyperscalers with massive bills to power their AI data centers.

TechCrunch AI8/14/20261
Read More
AIStartupsAmazon

Meta’s ‘open’ AI, and a $250M deal gone very wrong 

Meta released Glimmer this week, an open-weight AI model anyone can download and run on their own hardware — a contrast to Muse Spark, the company’s more powerful model that stays locked behind its own APIs. The release landed alongside a letter from Mark Zuckerberg arguing AI should be “for everyone” rather than controlled by a handful of labs, but as Equity’s […]

TechCrunch AI8/14/20261
Read More
Agentic AIAI ShortsApplications

Z.ai Ships GLM-5.3 Without Retraining the Base Model: Better at Complex Coding and Long-Horizon Tasks

Z.ai released GLM-5.3 on August 14, 2026. The model reuses the 743B GLM-5.2 base unchanged. Every reported gain comes from scaled post-training: more long-horizon task environments, more environment types, longer training. Terminal-Bench 3.0 moves from 4.6 to 28.3, and DeepSWE v1.1 from 46.2 to 66.9. Cybersecurity moved further than Z.ai says it planned, with CyberGym at 84.5% and ExploitBench more than doubling to 54.4%. Weights arrive in about two weeks. The post Z.ai Ships GLM-5.3 Without Ret

MarkTechPost8/14/20262
Read More
Meet Needle 2: An Open 45M-Parameter Tool-Calling Model That Ships as a 14MB Binary and Runs a Full Session in 28MB of RAM
Agentic AIAI InfrastructureAI Shorts

Meet Needle 2: An Open 45M-Parameter Tool-Calling Model That Ships as a 14MB Binary and Runs a Full Session in 28MB of RAM

Cactus Compute released Needle 2, an open 45M-parameter model for tool calling, device use, and structured extraction. The full model is a single 14MB binary that runs a session in about 28MB of RAM. It leads both Seal-Tools splits while targeting hardware with no GPU and no NPU. The post Meet Needle 2: An Open 45M-Parameter Tool-Calling Model That Ships as a 14MB Binary and Runs a Full Session in 28MB of RAM appeared first on MarkTechPost.

MarkTechPost8/14/20263
Read More
ApplicationsArtificial IntelligenceEditors Pick

Create a Reasoning-Focused LLM: A Practical Guide to Streaming, Curating, and Fine-Tuning the SupraLabs Reasoning Corpus

This tutorial provides a complete workflow for building a compact, reasoning-focused language model. By streaming the SupraLabs reasoning corpus from Hugging Face, we apply quality filters and curate data for Supervised Fine-Tuning (SFT). Using SmolLM2-135M-Instruct and LoRA, we demonstrate an end-to-end pipeline—from dataset analysis and heuristic cleaning to efficient training and inference—enabling the development of specialized small models without excessive resource requirements The post Cr

MarkTechPost8/14/20264
Read More
Previous10 / 113Next