analeph.ai - Integrity & Stability
@analephai.bsky.social
Building the trust layer for large language models.
Real-time detection of hallucinations, instability & drift.
Model-agnostic. Transparent. Deployable.
Founder of Analeph.ai | YC Startup School
Real-time detection of hallucinations, instability & drift.
Model-agnostic. Transparent. Deployable.
Founder of Analeph.ai | YC Startup School
Pinned
The best fit suggests a hard ceiling at ~10,500 sec (~2.93 hrs) of task time. GPT‑5 is already close.
Inflection point? Grok 4.
Change in the change of the change.
The exponential broke.
We’re entering a post-scaling phase.
Next breakthroughs won’t come from size — they’ll come from structure.
Inflection point? Grok 4.
Change in the change of the change.
The exponential broke.
We’re entering a post-scaling phase.
Next breakthroughs won’t come from size — they’ll come from structure.
Researchers just broke GPT-5’s safety in 24 hrs.
Story-based jailbreaks + zero-click exploits show:
Out-of-the-box ≠ secure
Enterprises need layered defenses
Analeph builds the trust & audit layer AI needs before it’s safe at scale.
Story-based jailbreaks + zero-click exploits show:
Out-of-the-box ≠ secure
Enterprises need layered defenses
Analeph builds the trust & audit layer AI needs before it’s safe at scale.
August 10, 2025 at 8:50 PM
Researchers just broke GPT-5’s safety in 24 hrs.
Story-based jailbreaks + zero-click exploits show:
Out-of-the-box ≠ secure
Enterprises need layered defenses
Analeph builds the trust & audit layer AI needs before it’s safe at scale.
Story-based jailbreaks + zero-click exploits show:
Out-of-the-box ≠ secure
Enterprises need layered defenses
Analeph builds the trust & audit layer AI needs before it’s safe at scale.
AI is like a single-core CPU: each token depends on the last. Big speed jumps will come from going multi-core (parallel experts, agents, and branching) to boost throughput, cut latency, and win on structure, not just size. The future is multi-core thinking.
August 10, 2025 at 8:47 PM
AI is like a single-core CPU: each token depends on the last. Big speed jumps will come from going multi-core (parallel experts, agents, and branching) to boost throughput, cut latency, and win on structure, not just size. The future is multi-core thinking.
Reposted by analeph.ai - Integrity & Stability
The best fit suggests a hard ceiling at ~10,500 sec (~2.93 hrs) of task time. GPT‑5 is already close.
Inflection point? Grok 4.
Change in the change of the change.
The exponential broke.
We’re entering a post-scaling phase.
Next breakthroughs won’t come from size — they’ll come from structure.
Inflection point? Grok 4.
Change in the change of the change.
The exponential broke.
We’re entering a post-scaling phase.
Next breakthroughs won’t come from size — they’ll come from structure.
August 10, 2025 at 2:18 AM
The best fit suggests a hard ceiling at ~10,500 sec (~2.93 hrs) of task time. GPT‑5 is already close.
Inflection point? Grok 4.
Change in the change of the change.
The exponential broke.
We’re entering a post-scaling phase.
Next breakthroughs won’t come from size — they’ll come from structure.
Inflection point? Grok 4.
Change in the change of the change.
The exponential broke.
We’re entering a post-scaling phase.
Next breakthroughs won’t come from size — they’ll come from structure.
Hi Bluesky, I’m building Analeph.ai, the vendor-agnostic trust layer for LLMs.
We monitor AI outputs in real time to detect hallucinations, instability, and drift, before they cause failures.
If you work in AI deployment, governance, or compliance, I’d love to connect.
We monitor AI outputs in real time to detect hallucinations, instability, and drift, before they cause failures.
If you work in AI deployment, governance, or compliance, I’d love to connect.
Analeph — The Structural Trust Layer for AI
Analeph builds runtime trust infrastructure for AI: AI Nurse, Reclaiming Memory, PSI/SEDI, and ZMT.
Analeph.ai
August 10, 2025 at 12:14 AM
Hi Bluesky, I’m building Analeph.ai, the vendor-agnostic trust layer for LLMs.
We monitor AI outputs in real time to detect hallucinations, instability, and drift, before they cause failures.
If you work in AI deployment, governance, or compliance, I’d love to connect.
We monitor AI outputs in real time to detect hallucinations, instability, and drift, before they cause failures.
If you work in AI deployment, governance, or compliance, I’d love to connect.