http://x.com/i/article/2032605528149352448
related
▶@0xLauge@derekmeegan i make all of these on http://shadertoy.com!@instance_11
▶@bestdesignsonx
▶@alibey_10
▶@HamzaInstantly
@miralizain+3
▶@arlanoska≡ 2
▶@TheAhmadOsman
@matsugfx
▶@hiradsab
@AlbiaHossaintool is live, show me what you cook: https://ascii.0xbalance.xyz/@0xLauge
@Zai_org
▶@bnjOpus 4.5 + Ralph Wiggum with XcodeBuild and playwright is going to mint millionaires.
Mark my words.
You’re not ready@hunterhammondshttp://x.com/i/article/2008445539172708357@fkyslycheck it out -> https://nothing-to-watch.port80.ch/@proskuaaaTop 5 local LLMs:
1. GLM-4.5-air: best agentic/coding model that runs on consumer hardware at very decent speeds. Rivals Claude 4-sonnet.
2. Nousresearch/hermes-70B: the only model that will do whatever you ask, and tell you whatever you want to know. Literally critical to have.
3. GPT-OSS-120B: very intelligent it’s like having 4o at home, great context window, great agent
4. Qwen3-coder-30B-3A-instruct: very good coding agent, excellent workhorse, incredibly fast
5. Mistral-magistral-small: very fast, excellent agent, great coder, multimodal, punches way, way, above its size.
I would be okay never using a proprietary llm, although given the subsidised compute I will continue to use them since I’m getting free leverage.@0xSero
▶@_chenglou
@Fried_rice
@Zai_org▶@bnjOpus 4.5 + Ralph Wiggum with XcodeBuild and playwright is going to mint millionaires.
Mark my words.
You’re not ready@hunterhammondshttp://x.com/i/article/2008445539172708357@fkyslycheck it out -> https://nothing-to-watch.port80.ch/@proskuaaaTop 5 local LLMs:
1. GLM-4.5-air: best agentic/coding model that runs on consumer hardware at very decent speeds. Rivals Claude 4-sonnet.
2. Nousresearch/hermes-70B: the only model that will do whatever you ask, and tell you whatever you want to know. Literally critical to have.
3. GPT-OSS-120B: very intelligent it’s like having 4o at home, great context window, great agent
4. Qwen3-coder-30B-3A-instruct: very good coding agent, excellent workhorse, incredibly fast
5. Mistral-magistral-small: very fast, excellent agent, great coder, multimodal, punches way, way, above its size.
I would be okay never using a proprietary llm, although given the subsidised compute I will continue to use them since I’m getting free leverage.@0xSero▶@_chenglou@Fried_rice
▶@samhogan
@OomfieLoomfie
@bbssppllvv@codetaur make it public on https://github.com/devallibus/shaderbase ?@de_vallibus@1talons1 https://gruvbox-wallpapers.pages.dev from here, go to photography section.@mrohhellyeah
▶@iamdothash
▶@bnj
▶@floguoAs a developer,
Please Slap yourself if you are unable to explain even 10 from below terms :
Indexing
Clustering
Denormalization
Normalization
Read replicas
Leader–Follower replication
Multi-leader replication
Quorum
Consensus
CAP theorem
BASE
ACID
Eventual consistency
Strong consistency
Snapshot isolation
MVCC (Multi-Version Concurrency Control)
Two-phase commit (2PC)
Three-phase commit (3PC)
Write-ahead logging (WAL)
Checkpointing
Compaction
Rebalancing
Resharding
Data locality
Hot partition
Split-brain
Failover
High availability (HA)
Horizontal scaling
Vertical scaling
Load balancing
Connection pooling
Caching
Materialized views
Secondary indexes
Composite index
Covering index
Bloom filter
LSM tree
B-tree
Query planner
Cost-based optimizer
Deadlock
Lock escalation
Optimistic locking
Pessimistic locking
Dirty read
Phantom read
Read skew
Write skew
Data skew
Backpressure
Circuit breaker
Throttling
Rate limiting
CDC (Change Data Capture)
Logical replication
Physical replication
Geo-replication
Federation
Data lake
Data warehouse
Columnar storage
Row-based storage
Time-series partitioning
Hash partitioning
Range partitioning
Consistent hashing
Data migration
Schema evolution
Schema registry
Idempotency
Exactly-once semantics@SumitM_X
▶@ultramock