AI - Large Language Models
1M native context on sub-5B models! Congrats @SparkLLM on launching Spark X2.5-4B and X2.5-1.7B, with day-0 serving support in SGLang.
Key points
• 1M native context on sub-5B models. • Spark X2.5-4B and X2.5-1.7B models launched. • Day-0 serving support in SGLang.
Sources
- Original post - Original source
- SparkLLM - AI model provider
- SGLang - AI language model
AI - Investment and Risk
The bottom must be near. Reminder - $RKLB is a decade long hold. Don't let the daily, weekly or monthly price action shake you out I'm more excited for the company's future than I was 12 months ago
Key points
• $RKLB is a decade long hold. • Price action should not shake out investors. • Company's future is more exciting than 12 months ago.
Sources
- Original post - Original source
- $RKLB - Stock ticker
AI - Accelerator Benchmarking
Developing next-generation accelerators requires benchmarking them on realistic and agentic AI workloads. With @ARIA_research 's Scaling Compute programme, we are releasing TEAS , serving 5 models (4B to ~1T total) on 9 accelerators for 6 workloads.
Key points
• Next-generation accelerators require benchmarking on realistic AI workloads. • TEAS is released for benchmarking accelerators. • 5 models (4B to ~1T total) served on 9 accelerators for 6 workloads.
Sources
- Original post - Original source
- TEAS - Benchmarking tool
- ARIA_research - Research organization
AI - Frontier Computing
BREAKING: Anthropic CEO Dario Amodei says he is deeply concerned by reports that the local ai community now considers 2x dgx spark with 256gb unified memory the frontier at home.
Key points
• 2x dgx spark with 256gb unified memory considered frontier computing. • Anthropic CEO Dario Amodei expresses concern. • Local AI community considers this frontier.
Sources
- Original post - Original source
- Anthropic - AI research organization
- Dario Amodei - CEO of Anthropic
AI - Model Development
Today we're releasing abliterated-model-large-v2. Based on GLM-5.3, which is #3 on Terminal-Bench 4.0 (behind only Opus 5 and Fable), with 2× the cyber exploitation of 5.2. We abliterated and hosted it so it does the offensive cyber, red teaming, and agent testing work other
Key points
• abliterated-model-large-v2 released. • Based on GLM-5.3, #3 on Terminal-Bench 4.0. • 2× the cyber exploitation of 5.2.
Sources
- Original post - Original source
- abliterated-model-large-v2 - AI model
- GLM-5.3 - AI model
AI - Model Migration
OpenAI is pulling its models from Cursor after the SpaceX acquisition. Thousands of teams now get a migration they didn't choose. Some version of this was always going to happen. If you cannot switch, you don't have an AI strategy. You have a dependency.
Key points
• OpenAI pulling models from Cursor. • Thousands of teams affected by migration. • AI strategy requires flexibility.
Sources
- Original post - Original source
- OpenAI - AI research organization
- Cursor - AI model platform
AI - Sovereign AI
AI is moving into the physical world. Who owns the intelligence behind an autonomous mission? The customer. In my new article, I explain why Ondas shares Palantir’s Sovereign AI conviction and why the next frontier is Sovereign Mission Autonomy.
Key points
• AI moving into physical world. • Customer owns intelligence behind autonomous mission. • Sovereign Mission Autonomy next frontier.
Sources
- Original post - Original source
- Ondas - Company
- Palantir - Company
AI - Japanese Bond Yield
𝗝𝗔𝗣𝗔𝗡 𝟭𝟬𝗬 𝗬𝗜𝗘𝗟𝗗 𝗕𝗥𝗘𝗔𝗞𝗦 𝟯% 𝗙𝗢𝗥 𝗙𝗜𝗥𝗦𝗧 𝗧𝗜𝗠𝗘 𝗦𝗜𝗡𝗖𝗘 𝟭𝟵𝟵𝟲! The 10‑year Japanese government bond yield climbed above 3.00%, a level not seen since 1996. The surge follows a recent conversation where US Treasury Secretary Janet Yellen urged
Key points
• 10-year Japanese government bond yield above 3.00%. • Level not seen since 1996. • Surge follows recent conversation.
Sources
- Original post - Original source
- Japanese government bond yield - Financial metric
- US Treasury Secretary Janet Yellen - Government official
AI - Model Compression
1.5TB → 214GB. Seven times smaller, barely a dent. That's Hy4 preview. The trick is Sherry — our quantization method that packs weights down to 1.25 bits each. (The image shows how.) It also unlocks a new way to run it: stitch the GPUs you already have across machines, and
Key points
• Hy4 preview compresses model size. • Sherry quantization method used. • Model can be run on existing GPUs.
Sources
- Original post - Original source
- Hy4 - AI model
- Sherry - Quantization method