Hiring for engineers? Instead of a leetcode interview, try asking them to build an #MCP server in Python.
This first turn on Claude Opus 4.1 is so wrong it might just take burning the rest of humanity's natural gas reserves to fix it.
This first turn on Claude Opus 4.1 is so wrong it might just take burning the rest of humanity's natural gas reserves to fix it.
October 13, 2025 at 11:05 PM
Hiring for engineers? Instead of a leetcode interview, try asking them to build an #MCP server in Python.
This first turn on Claude Opus 4.1 is so wrong it might just take burning the rest of humanity's natural gas reserves to fix it.
This first turn on Claude Opus 4.1 is so wrong it might just take burning the rest of humanity's natural gas reserves to fix it.
The solution is to reinforce the use of knowledge tool calls for every query in post-training. By consistently grounding responses to citable sources, even the occasional quirk and hallucination are explainable.
October 9, 2025 at 1:56 AM
The solution is to reinforce the use of knowledge tool calls for every query in post-training. By consistently grounding responses to citable sources, even the occasional quirk and hallucination are explainable.
It's fascinating to see the Mandela Effect take hold on LLMs as much as it does people.
This is especially true for LLMs that see its own pretrained memory as a tool for knowledge recall, rather than as an orchestrator (most LLMs).
This is especially true for LLMs that see its own pretrained memory as a tool for knowledge recall, rather than as an orchestrator (most LLMs).
October 9, 2025 at 1:56 AM
It's fascinating to see the Mandela Effect take hold on LLMs as much as it does people.
This is especially true for LLMs that see its own pretrained memory as a tool for knowledge recall, rather than as an orchestrator (most LLMs).
This is especially true for LLMs that see its own pretrained memory as a tool for knowledge recall, rather than as an orchestrator (most LLMs).
...so I set it up to run the 4000 question eval on Diffbot LLM overnight and went to bed.
The next morning, we beat Sonar Pro.
The next morning, we beat Sonar Pro.
January 30, 2025 at 3:08 AM
...so I set it up to run the 4000 question eval on Diffbot LLM overnight and went to bed.
The next morning, we beat Sonar Pro.
The next morning, we beat Sonar Pro.
The benefit of full source attribution goes two ways.
Not only is credit provided to publishers, every fact is also independently verifiable.
Not only is credit provided to publishers, every fact is also independently verifiable.
January 9, 2025 at 9:47 PM
The benefit of full source attribution goes two ways.
Not only is credit provided to publishers, every fact is also independently verifiable.
Not only is credit provided to publishers, every fact is also independently verifiable.
Every response from Diffbot LLM draws from the results of real-time expert web searching and queries to the Diffbot Knowledge Graph.
Naturally, this means Diffbot LLM always provides full attribution to its cited sources.
Naturally, this means Diffbot LLM always provides full attribution to its cited sources.
January 9, 2025 at 9:47 PM
Every response from Diffbot LLM draws from the results of real-time expert web searching and queries to the Diffbot Knowledge Graph.
Naturally, this means Diffbot LLM always provides full attribution to its cited sources.
Naturally, this means Diffbot LLM always provides full attribution to its cited sources.