Skip to content
Signalcrest
Back to entity feed
aientity · one source so far

beam

for ml engineers, ai researchers

Steadyhuggingface
Signal score
0
as of 3d ago
Live items
1
Trajectory
↓ Cooling
7-day est. ~0

Why this scored 0

every term, weighted
Velocity+0.0 / 40

Its fastest-moving item, measured against the pace of its own source

Acceleration+9.8 / 25

Whether that velocity is itself speeding up, as a per-hour rate

Cross-source spread+0.0 / 25

How many independent communities its own items come from

Recency+0.0 / 10

Decays to zero over 14 days, counted from when we first saw it

Saturation penalty−15.6 / 30

Subtracted once something is big and old — sized by its biggest item, aged from when we first saw it

Composite-5.8 → clamped to 0

Weights are hand-tuned, not learned — we're calibrating them against realized trends as history accumulates. On an entity's first sighting there's no previous reading to compare against, so acceleration starts from a neutral prior rather than a measurement, and velocity falls back to engagement over its whole lifetime until a second reading exists. Full methodology

Outlook

medium confidence · estimate, not a guarantee

7-day

~0

range 0–12

14-day

~0

range 0–14

30-day

~0

range 0–19

Signal history

7-day window (free)
030

projected trajectory (estimate, not a guarantee)

The evidence

The live items this entity's score aggregates — every community independently talking about it right now. This is the corroboration, shown, not claimed.

  1. 1
    18

    Imp is a full port of DSPy to the BEAM

    Imp ports DSPy to BEAM, enabling Erlang/Elixir teams to use LLM prompting libraries. · for ML engineers

    hackernewsSteadyai28d ago
  2. 2
    17

    Gleam and BEAM- Looking beyond the JVM

    Introduces Gleam on BEAM as a JVM alternative for backend development. · for backend engineers

    lobstersSteadydevtools51d ago
  3. 3
    16

    Beam: Reflection's 501B open-weight model

    Beam releases an open-weight model that developers can fine-tune freely. · for ml engineers, ai researchers

    hackernewsSteadyai21d ago
  4. 4
    0

    reflection/Beam-1.0-501B-A23B (text-generation)

    Beam 1.0 model introduces a mixture-of-experts text generation architecture. · for ml engineers, ai researchers

    huggingfaceSteadyai−16 saturated7d ago