They made it convenient to get value for the specialist masses and I don't think anyone else managed to achieve it yet. That's their moat. I've seen firsthand attempts at integrating open source in place of it and they…
The model is engine, the harness is the car Anthropic are selling. They are a service company, selling home-grown, mass-produced, conveniently packaged intelligence at a well established price for consumer. Their API…
If implemented correctly these tricks will still work on less expensive models delivering nearly identical value. Today, a hefty amount of standard coding tasks can be completed with similar results to gpt astra using…
Not sure what I expected, but it's just the training data, not the character. It'd be so cool if such systems had natural curiosity at this checkpoint. Eg: > Me: "What's semiotic crystallography? > Response: "I don't…
At least you got a heads-up. Few months back GCP "Agent Studio - Build" failed compiling the code in sandbox with a vague error message. Spent weeks troubleshooting, spoke to google engineers and reps, sending code,…
Another nail to Xbox (MS game studios) coffin :)
When you're asked to deliver 2x performance for +20% of salary, you sometimes need to take a step back and see how the others would fare.
Same. Feels very goal oriented. Requires multiple attempts to deter course and means to achieve it. On tool use. Gave it interactive design assignment on Antigravity 2. Failed miserably until I asked to use playwright…
Good article. Now would anyone tell me how do I short AI?
Language is one of communication contracts. LLModels leverage these contracts to communicate data structures (shapes) that emerge when evaluating input. They are so good at prediction that when you give them a clue of a…
There's no seahorse emoji? Funny, but I can vividly remember it. It was pinkish-orangey. I even feel I used it several times. Feels strange..
You guys rock! I'm very curious how will this perform against real word data, where small nuance matters. Also have you tested it beyond 128K context window?
Oreole is not a plug-and-play yet. From their docs ( https://www.orioledb.com/docs ) > OrioleDB currently requires a set of patches to PostgreSQL to enhance the pluggable storage API and other PostgreSQL subsystems. All…
They made it convenient to get value for the specialist masses and I don't think anyone else managed to achieve it yet. That's their moat. I've seen firsthand attempts at integrating open source in place of it and they…
The model is engine, the harness is the car Anthropic are selling. They are a service company, selling home-grown, mass-produced, conveniently packaged intelligence at a well established price for consumer. Their API…
If implemented correctly these tricks will still work on less expensive models delivering nearly identical value. Today, a hefty amount of standard coding tasks can be completed with similar results to gpt astra using…
Not sure what I expected, but it's just the training data, not the character. It'd be so cool if such systems had natural curiosity at this checkpoint. Eg: > Me: "What's semiotic crystallography? > Response: "I don't…
At least you got a heads-up. Few months back GCP "Agent Studio - Build" failed compiling the code in sandbox with a vague error message. Spent weeks troubleshooting, spoke to google engineers and reps, sending code,…
Another nail to Xbox (MS game studios) coffin :)
When you're asked to deliver 2x performance for +20% of salary, you sometimes need to take a step back and see how the others would fare.
Same. Feels very goal oriented. Requires multiple attempts to deter course and means to achieve it. On tool use. Gave it interactive design assignment on Antigravity 2. Failed miserably until I asked to use playwright…
Good article. Now would anyone tell me how do I short AI?
Language is one of communication contracts. LLModels leverage these contracts to communicate data structures (shapes) that emerge when evaluating input. They are so good at prediction that when you give them a clue of a…
There's no seahorse emoji? Funny, but I can vividly remember it. It was pinkish-orangey. I even feel I used it several times. Feels strange..
You guys rock! I'm very curious how will this perform against real word data, where small nuance matters. Also have you tested it beyond 128K context window?
Oreole is not a plug-and-play yet. From their docs ( https://www.orioledb.com/docs ) > OrioleDB currently requires a set of patches to PostgreSQL to enhance the pluggable storage API and other PostgreSQL subsystems. All…